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DEVELOPMENT OF IMPLEMENTATION MODELS FOR HOSPITAL INFORMATION SYSTEM (HIS) IN MALAYSIAN PUBLIC HOSPITALS NURUL IZZATTY BINTI ISMAIL UNIVERSITI TUN HUSSEIN ONN MALAYSIA

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Page 1: DEVELOPMENT OF IMPLEMENTATION MODELS FOR …eprints.uthm.edu.my/9228/1/Nurul_Izzatty_Ismail.pdf · iv development of implementation models for hospital information system (his) in

DEVELOPMENT OF IMPLEMENTATION MODELS FOR

HOSPITAL INFORMATION SYSTEM (HIS) IN MALAYSIAN

PUBLIC HOSPITALS

NURUL IZZATTY BINTI ISMAIL

UNIVERSITI TUN HUSSEIN ONN MALAYSIA

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DEVELOPMENT OF IMPLEMENTATION MODELS FOR HOSPITAL

INFORMATION SYSTEM (HIS) IN MALAYSIAN PUBLIC HOSPITALS

NURUL IZZATTY BINTI ISMAIL

A thesis submitted in

fulfilment of the requirement for the award of the

Doctor of Philosophy in Technology Management by Research

Faculty of Technology Management and Business

Universiti Tun Hussein Onn Malaysia

SEPTEMBER 2016

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DEDICATION

I dedicated my work to my beloved husband, Wazli..

My beloved mother, Norrisah..

My beloved grandmother, Hajah Fatimah..

My brother, Faizul, and all my families,

Without them, I would not go this far.

Thanks for your love, caring, understanding and huge support.

I love you all till ‘Jannah’.

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ACKNOWLEDGEMENT

All praises is only for ALLAH the Most Merciful and the Highest, thank you, ALLAH.

I am grateful to my supervisor who guides me sincerely through this entire doctoral

journey, Ass. Prof. Dr. Nor Hazana Abdullah for her endless support, guidance and

motivation. I also would like to express my grateful to my co-superviser who guides me

to this journey, Ass. Prof. Dr. Alina Shamsuddin. I would like to appreciate Dr. Nor

Aziaty and Dr. Roshartini for their helps in my research. Thank you for all of you.

I would like to thank you to organizations and persons participated thoughout

this research, Hospital Sultan Ismail, Hospital Keningau, Hospital Tuanku Ja’afar,

Hospital Tuanku Zahirah, Hospital Lahad Datu and Hospital Kepala Batas. Thank you

for the cooperation. I also shows my grateful to Ministry of Health Malaysia who

approved my research to be done in public hospitals.

I would also like to thankful to my colleagues, Bari’ah, Nor Fazira , Noor

Juliana, Emrozio, Farhana and Farhaini who have shared their knowledge throughout

this journey. Not to be forgotten, to those who have helped me directly and indirectly in

this journey, especially my whole families; grandmother, uncles and aunties for their

support to go this far. I know, without them, I might lost my way and helpless.

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ABSTRACT

Studies have shown that Hospital Information System (HIS) implementation improve

hospital’s management and activities in terms of cost and time reductions. However,

there are only 15.2% out of 138 Malaysian Public Hospitals implemented HIS.

Literatures have further highlighted various issues and challenges with regards to its

implementation. Therefore, this study aimed to explore the implementation of THIS,

IHIS and BHIS’s hospitals as well as factors affecting them. This study employed a

mixed methods approach to answer the research objectives. In the first phase of this

study, semi-structured interviews were conducted with nine participants consisted of the

hospital directors, Information Technology officers and HIS users. It is found that

THIS’s hospital implementation phases differed from IHIS and BHIS’s hospitals, while

IHIS and BHIS’s hospitals have similar phases based on Business Interaction Phases of

Business Action Theory. Human context was discovered to play important roles in the

HIS implementation. A survey was conducted in the second phase of this study among

HIS users at different categories of HIS’s hospitals. Two hundred and twenty-nine

questionnaires were returned to yield a response rate of 45.8%. Based on ANOVA

findings, factors affecting THIS implementation were significantly different from those

in IHIS and BHIS’s hospitals. There was no significance different between IHIS and

BHIS’s hospitals. There are three major contributions of this study: 1) Distinctive

implementation phases for THIS hospital and IHIS-BHIS hospital were discovered for

HIS implementation. 2) New models of HIS implementation which highlight the Human

context were proposed, and 3) Different factors were found to affect HIS

implementation at different types of HIS’s hospitals.

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ABSTRAK

Kajian menunjukkan bahawa pelaksanaan Hospital Information System (HIS) telah

meningkatkan mutu pengurusan dan aktiviti hospital khususnya di dalam perbelanjaan

dan pengurangan masa. Walau bagaimanapun, hanya 15.2% daripada 138 buah Hospital

Awam di Malaysia melaksanakan HIS. Kajian literatur menekankan pelbagai isu dan

cabaran berhubung pelaksanaannya. Oleh itu, kajian ini bertujuan untuk meneroka

pelaksanaan hospital THIS, IHIS dan BHIS serta faktor-faktor yang mempengaruhinya.

Kajian ini menggunakan mixed method untuk menjawab objektif kajian. Dalam fasa

pertama kajian ini, temuramah separa berstruktur telah dijalankan dengan sembilan

orang peserta kajian dari kalangan pengarah hospital, pegawai Teknologi Maklumat dan

pengguna HIS. Kajian mendapati fasa pelaksanaan hospital THIS berbeza dari hospital

IHIS dan BHIS, manakala hospital IHIS dan BHIS mempunyai fasa yang sama.

Konteks Kemanusiaan merupakan peranan yang penting dalam pelaksanaan HIS.

Tinjauan dari borang kaji selidik telah dijalankan dalam fasa kedua kajian ini melibatkan

pengguna HIS di kalangan kategori hospital HIS yang berbeza. Dua ratus dan dua puluh

sembilan soal selidik bersamaan dengan 45.8% telah dikembalikan. Berdasarkan

dapatan ANOVA, faktor mempengaruhi pelaksanaan THIS perbezaan signifikan dengan

hospital IHIS dan BHIS. Tiada perbezaan signifikan di antara hospital IHIS dan BHIS.

Terdapat tiga penemuan utama kajian ini: 1) Fasa-fasa pelaksanaan HIS yang berbeza di

hospital THIS dan hospital IHIS-BHIS telah ditemui, 2) Model-model baru pelaksanaan

HIS yang menekankan konteks Kemanusiaan telah dikemukakan, dan 3) Faktor-faktor

yang berbeza menjejaskan pelaksanaan HIS di kategori-kategori hospital HIS yang

berbeza.

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CONTENT

DEDICATION vi

ACKNOWLEDGEMENT vii

ABSTRACT viii

ABSTRAK ix

CONTENT x

LIST OF TABLES xvii

LIST OF FIGURES xxi

LIST OF SYMBOLS AND ABBREVIATION xxiii

LIST OF APPENDICES xxiv

CHAPTER1 INTRODUCTION 1

1.0 Introduction 1

1.1 Healthcare Background in Malaysia 2

1.2 Problem Statement 2

1.3 Research Questions 4

1.4 Research Objectives 4

1.5 Significance of the Study 5

1.6 Scope of the Study 5

1.7 Operational Definition 6

1.8 Structure of the Thesis 7

CHAPTER 2 LITERATURE REVIEW 9

2.0 Introduction 10

2.1 Healthcare in Malaysia 10

2.1.1 Malaysian Public Hospitals 12

2.2 Healthcare Services and Transformation in Malaysia 15

2.3 Hospital Information System (HIS) 18

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2.3.1 Components of Hospital Information System (HIS) 19

2.4 Development of Hospital Information System (HIS) 21

2.5 Hospital Information System (HIS) Implementation

Phases 23

2.5.1 Hospital Information System (HIS) Implementation

in Malaysia 26

2.6 Benefits of Hospital Information System (HIS)

Implementation 28

2.7 Issues and Challenges of Hospital Information System

(HIS) Implementation 29

2.8 Models/Theories 33

2.8.1 Theories Related to Implementation Phases 33

2.8.1.1 Business Action Theory (BAT): A Phase Model

33

2.8.1.2 Systems Development Life Cycle (SDLC) 36

2.8.2 Technology Acceptance or Adoption Theories 37

2.8.2.1 Theory of Reasoned Action (TRA) 37

2.8.2.2 Theory of Planned Behaviour (TPB) 40

2.8.2.3 Technology Acceptance Model (TAM) 42

2.8.2.4Technology, Organisational and

Environmental (TOE) Framework 45

2.8.2.5 DeLone and McLean IS Success Model 46

2.8.2.6 Unified Theory of Acceptance and

Use of Technology (UTAUT) 48

2.8.2.7 HOT-Fit Model 50

2.8.2.8 Innovation of Diffusion Theory 53

2.8.3 Theory Adopted for HIS Implementation Phases 55

2.8.4 Theories Adopted in HIS Acceptance 56

2.9 Previous Studies in Hospital Information System (HIS) in

Malaysia 58

2.10 Theoretical Framework 66

2.11 Chapter Summary 67

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CHAPTER 3 METHODOLOGY 69

3.0 Introduction 69

3.1 Research Methodology 69

3.1.1 The Nested Table Approach 70

3.1.2 The Research Onion 71

3.1.2.1 Research Philosophies 72

3.1.2.2 Research Approach 75

3.1.2.3 Research Strategy 75

3.1.2.4 Research Choices 76

3.1.2.5 Time Horizons 77

3.1.2.6 Technique and Procedure 77

3.2 Mixed Methods Approach 79

3.3 MOH Procedures for Research 80

3.4 First Phase: Qualitative Research 81

3.4.1 Research Strategy in Qualitative Study 82

3.4.2 Case Study Protocol 83

3.4.3 Data Collection in Qualitative Study 84

3.4.4 Population and Target Population in Qualitative

Study 85

3.4.5 Research Site in Qualitative Study 86

3.4.6 Type of Research Sampling in Qualitative Study 86

3.4.7 Background of Participants 86

3.4.8 Research Sampling in Qualitative Study 87

3.4.9 Qualitative Research Instrument 87

3.4.10 Qualitative Ethics 88

3.4.11 Interview Preparation Stages 88

3.4.12 Interview Phases 90

3.4.13 Data Validity in Qualitative Study 90

3.4.14 Reliability in Qualitative Study 91

3.5 Qualitative Data Analysis 92

3.5.1 Content Analysis 92

3.5.2 Within-Case Analysis 95

3.5.3 Cross-Case Analysis 95

3.6 Phase 2: Quantitative Research 95

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3.6.1 Research Strategy in Quantitative Study 96

3.6.2 Data Collection in Quantitative Study 96

3.6.3 Research Instrument in Quantitative Study 96

3.6.4 Research Population in Quantitative Study 99

3.6.5 Research Site in Quantitative Study 99

3.6.6 Type of Research Sampling in Quantitative Study 99

3.6.7 Pre-Test 100

3.6.8 Data Validity in Quantitative Study 100

3.6.9 Reliability in Quantitative Study 101

3.6.10 Survey Preparation Stages 102

3.7 Quantitative Data Analysis 103

3.7.1 Data Cleaning 103

3.7.2 Data Transformation 104

3.7.3 Testing Assumptions 104

3.7.3.1 Normality Test 104

3.7.3.2 Levene’s Test ofn Homogeneity Variance 105

3.7.3.3 Data Analysis Strategy 106

3.7.3.4 Parametric Test 107

3.8 Conclusion 107

CHAPTER 4 QUALITATIVE FINDINGS 109

4.0 Introduction 109

4.1 Criteria For Participants in Interview 109

4.2 Case Study 1: Hospital A (THIS) 110

4.2.1 Case Study 1: Hospital A (THIS) 110

4.2.1 Case Study 1: Hospital A (THIS) Background 110

4.2.2 Case Study 1: Participants Involved in Hospital

A 111

4.3 Within Case Analysis: Hospital A (THIS) 112

4.3.1 Explore of HIS Implementation Phases at THIS’s

Hospital (Hospital A) 113

4.3.2 Explore Factors Affecting HIS Implementation at

THIS’s Hospitals (Hospital A) 125

4.4 Case Study 2: Hospital B (IHIS) 143

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4.4.1 Case Study 2: Hospital B (IHIS) Background 143

4.4.2 Case Study 2: Participants Involved in Hospital

B 143

4.5 Within Case Analysis: Hospital B (IHIS) 144

4.5.1 Explore of HIS Implementation at IHIS’s

Hospital (Hospital B) 145

4.5.2 Explore Factors Affecting HIS Implementation

at IHIS’s Hospital (Hospital B) 158

4.6 Case Study 3: Hospital C (BHIS) 172

4.6.1 Case Study 3: Hospital C (BHIS) Background 172

4.7 Within Case Analysis: Hospital C (BHIS) 173

4.7.1 Explore of HIS Implementation at BHIS’s

Hospital (Hospital C) 174

4.7.2 Explore Factors Affecting HIS Implementation at

BHIS’s Hospital (Hospital C) 184

4.8 Cross-Case Analysis 195

4.8.1 To explore HIS implementation among THIS,

IHIS and BHIS’s hospitals. 195

4.8.1.1 HIS Prerequisites Phase 197

4.8.1.2 Exposure and Contact Search Phase 198

4.8.1.3 Contact Establishment and Proposal Phase 198

4.8.1.4 Fulfilment Phase 198

4.8.1.5 Completion Phase 202

4.8.2 To explore factors affecting HIS implementation

of THIS, IHIS and BHIS’s hospitals 206

4.8.2.1 Factors Affecting THIS, IHIS and BHIS’s

Hospital in Technological Context 208

4.8.2.2 Factors Affecting THIS, IHIS and BHIS’s

Hospital in Organisational Context 208

4.8.2.3 Factors Affecting THIS, IHIS and BHIS’s

Hospital in Environmental Context 209

4.8.2.4 Factors Affecting THIS, IHIS and BHIS’s

Hospital in Human Context 210

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4.9 Discussions in Qualitative Findings 212

4.10 Chapter Summary 213

CHAPTER 5 QUANTITATIVE FINDINGS 215

5.0 Introduction 215

5.1 Demographic Data of Respondents 216

5.1.1 Gender 216

5.1.2 Age 217

5.1.3 Ethnicity 217

5.1.4 Highest Education Level 218

5.1.5 Position 219

5.1.6 Work Experience 221

5.1.7 Department Involved 223

5.1.8 Computer Training 224

5.2 ANOVA 225

5.2.1 Post-Hoc Test 226

5.2.1.1 Technological Contexts 228

5.2.1.2 Organisational Contexts 230

5.2.1.3 Environmental Contexts 231

5.2.1.4 Human Contexts 232

5.2.3 Hypothesis 234

5.2.4 Size Effect 234

5.5 Discussions 235

5.6 Chapter Summary 236

CHAPTER 6 DISCUSSIONS 237

6.0 Introduction 237

6.1 Objective 1: To Explore the HIS Implementation at

THIS, IHIS and BHIS’s Hospitals 237

6.1.1 HIS Implementation Phases at THIS, IHIS and

BHIS’s Hospitals 238

6.1.2 Activities in HIS Implementation Phase at THIS,

IHIS and BHIS’s Hospitals 239

6.1.3 Important Bodies Involved in HIS Implementation

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at THIS, IHIS and BHIS’s Hospitals 241

6.2 Objective 2: To Explore Factors Affecting HIS

Implementation at THIS, IHIS and BHIS Hospitals 242

6.2.1 Importance of Human Context in HIS

Implementation at THIS, IHIS and BHIS’s

Hospitals 246

6.2.2 THIS Implementation Model 248

6.2.3 IHIS/BHIS Implementation Model 252

6.3 Objective 3: To Test the HIS Implementation Models at

Different Categories of HIS’s Hospitals 255

6.4 Chapter Summary 256

CHAPTER 7 CONCLUSION AND RECOMMENATIONS 258

7.0 Introduction 258

7.1 Research Contributions 258

7.2 Research Implications 259

7.2.1 Implication to Researchers 259

7.2.2 Implication to Ministry of Health (MOH) 260

7.2.3 Implication to Malaysian Public Hospitals 261

7.3 Limitation of the Study 261

7.4 Conclusion 262

7.5 Recommendations 263

REFERENCE 264

APPENDICES 297

VITA 351

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LIST OF TABLE

Table 2.1 Total Number of Patient Admissions (Adapted from Health

Informatics Centre, MoH, 2013) 10

Table 2.2: Bed Occupancy Rate (BOR) and Total Patient Days (TOD)

(Adapted from Health Informatics Centre, MoH, 2013) 11

Table 2.3: Categories and Lists of Malaysian Public Hospitals (Adapted

from Health Informatics Centre, MoH, 2012) 13

Table 2.4: Strategic Reform Initiatives (SRIs) and National Key Economic

Areas (NKEAs) 16

Table 2.5: Key Research Areas (KRAs) for Health Sector 18

Table 2.6: Differences of HIS Components 20

Table 2.7: The components of HIS in Malaysia 21

Table 2.8: Categories of HIS in Malaysia 27

Table 2.9: HIS Benefits and Issues of HIS Implementation 32

Table 2.10: Business Process (1996) and Business Interaction (1998)

(Adapted by Goldkuhl, 1998) 34

Table 2.11: TRA Variables 38

Table 2.12: Variables of Theory of Planned Behaviour (TPB) 41

Table 2.13: Variables of Technology Acceptance Model (TAM) 44

Table 2.14: Variables of TOE Framework 46

Table 2.15: Variables of DeLone and McLean IS Success Model 47

Table 2.16 Variable in UTAUT 49

Table 2.17: Examples of Evaluation Measures of the Proposed HOT-Fit

Framework 52

Table 2.18: Variables of Innovation of Diffusion Theory 55

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Table 2.19: Variables Affecting HIS Implementation Based on Acceptance

Theories and Literatures 56

Table 2.20: Previous Studies on HIS 59

Table 2.21: Previous Studies of Factors Affecting HIS Implementation 62

Table 2.22: The Previous Studies Based on the Contexts of Technological,

Environmental and Human Contexts 66

Table 3.1: Procedures and Elements of the Research Onion 72

Table 3.2: Research Philosophies (adapted from Saunders et al., 2008) 73

Table 3.3: Differences of Deduction and Induction (adapted from

Saunders et al., 2009) 75

Table 3.4: Result of Preliminary Interviews 89

Table 3.5: Qualitative Codings (adapted from Neuman, 2012) 92

Table 3.6: Descriptions of Measurements for Quantitative Study 97

Table 3.7: Measurements of Questionnaires 98

Table 3.8: Returned Questionnaires in Each Categories of HIS’s Hospitals 100

Table 3.9: Cronbach’s Alpha Coefficient for Pilot Test Study

(adapted by George and Mallery, 2003) 102

Table 3.10: Pilot Test: Cronbach’s Alpha Result 102

Table 3.11: Test of Normality 105

Table 3.12: Test of Homogeneity of Variance 106

Table 4.1: Participants at Hospital A 112

Table 4.2: THIS Components and Descriptions 119

Table 4.3: Participants at Hospital B 145

Table 4.4: IHIS Components and Descriptions 153

Table 4.5: Participants at Hospital C 173

Table 4.6: BHIS Components and Descriptions 180

Table 4.7: Participants Responded on HIS Implementation Phases 196

Table 4.8: Vendor for Human Resource, Billing and Imaging in THIS’s

Hospital 197

Table 4.9: The HIS Components and Their Percentages of THIS,

IHIS and BHIS’s Hospitals 200

Table 4.10: HIS Implementation Phases at THIS, IHIS and BHIS’s hospitals 203

Table 4.11: The Activities in HIS Implementation Phases at THIS Hospital 204

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Table 4.12: The Activities in HIS Implementation Phases at IHIS and BHIS

Hospitals 205

Table 4.13: The Factors Affecting of HIS Implementation among THIS,

IHIS and BHIS’s Hospitals 207

Table 5.1: Gender of Respondents Among THIS, IHIS, and

BHIS’s Hospitals 216

Table 5.2: Age of Respondents in THIS, IHIS, and BHIS’s Hospitals 217

Table 5.3: Ethnicity of Respondents in THIS, IHIS, and BHIS’s

Hospitals 218

Table 5.4: Highest Academic Qualification of Respondents in THIS,

IHIS and BHIS’s Hospitals 219

Table 5.5: Working Position of Participants in THIS, IHIS and BHIS’s

Hospitals 220

Table 5.6: Working Experience of Respondents in THIS, IHIS and

BHIS’s Hospitals 221

Table 5.7: Working Department of Respondents in THIS, IHIS

and BHIS’s Hospitals 223

Table 5.8: Computer Training Attended Yearly in THIS, IHIS and

BHIS’s Hospitals 224

Table 5.9: Differences of Technological, Organisational, Environmental

and Human Contexts 226

Table 5.10: Differences of THIS, IHIS and BHIS’s Hospitals By

Technological, Organisational, Environmental and Human

Contexts 227

Table 5.11: Factors Affecting HIS Implementation under Technological

Context at Different Categories of HIS’s Hospitals 229

Table 5.12: Factors Affecting HIS Implementation under Organisational

Context at Different Categories of HIS’s Hospitals 231

Table 5.13: Factors Affecting HIS Implementation under Environmental

Context at Different Categories of HIS’s Hospitals 232

Table 5.14: Factors Affecting HIS Implementation under Human Context at

Different Categories of HIS’s Hospitals 233

Table 5.15: User Fulfilment under Human Context at Different Categories

of HIS’s Hospitals 233

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Table 5.16: Eta-Squared of Technological, Human and Organisational

Contexts 235

Table 6.1: The Activities in HIS Implementation Phases 240

Table 6.2: The Descriptions of THIS Implementation Model 252

Table 6.3: The Description of THIS and IHIS Implementation Model 255

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LIST OF FIGURE

Figure 2.1: Four Pillars of National Transformation (Adapted from National

Economic Advisory Council, 2010) 15

Figure 2.2: Strategies to a Quality Healthcare & Active Healthy

Lifestyle 17

Figure 2.3: Components in Hospital Information System (HIS) (adapted from

Biomedical Informatics Ltd., 2006) 19

Figure 2.4: Business Action Theory: A Phase Model (adapted by

Goldkuhl, 1998) 35

Figure 2.5: Theory of Reasoned Action (Fishbein & Ajzen, 1975) 38

Figure 2.6. Theory of Planned Behaviour (TPB) adapted from

Ajzen (1985) 41

Figure 2.7: Technology Acceptance Model (TAM) adapted from

Davis (1986) 43

Figure 2.8 Technological-Organizational-Environmental Framework (TOE)

adapted from Tornatzky and Fleischer (1990) 45

Figure 2.9: DeLone and McLean IS Success Model (DeLone &

McLean, 1992) 47

Figure 2.10: Unified Theory of Acceptance and Use of Technology

Model (UTAUT) adapted from Venkatesh et al. (2003) 49

Figure 2.11: HOT-fit Model (Adapted from Yusuf et al., 2008) 51

Figure 2.12: Rogers’ Innovation Diffusion Theory Curve (adapted from

Rogers, 1995) 53

Figure 2.13: Diffusion of Innovation Model (adapted from Rogers, 1995) 54

Figure 2.14: Theoretical Framework of HIS in Malaysian public

hospitals 65

Figure 3.1: The Nested Approach (adapted by Kagioglou et al., 2000) 70

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Figure 3.2: The Research Onion (adapted by Saunders et al., 2008) 71

Figure 3.3: Exploratory Sequential Design (Adapted from Creswell, 2012) 79

Figure 3.4: The Interview Sources Uploaded into the NVivo 93

Figure 3.5: Nodes created in NVivo 93

Figure 3.6: Data coded inNvivo 94

Figure 4.1: Percentage of HIS Components of THIS, IHIS and BHIS’s

Hospitals 201

Figure 4.2: The Types of HIS and Affected Factors to HIS Implementation 211

Figure 6.1: Diagram of THIS and IHIS/BHIS Implementation Phases 238

Figure 6.2: THIS Implementation Model 251

Figure 6.3: IHIS Implementation Model 254

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LIST OF SYMBOL AND ABBREVIATION

η2

-Eta-Squared

BCS -Business Continuity System

HIS -Hospital Information System

BHIS -Basic Hospital Information System

IHIS -Intermediate Hospital Information System

IS -Information System

MOH -Ministry of Health

NMRR -National Medical Research Register

THIS -Total Hospital Information System

UTHM -Universiti Tun Hussein Onn Malaysia

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LIST OF APPENDICES

APPENDIX TITLE PAGE

A Interview Guide 297

B Consent Letter 298

C Approval Letter 318

D Interview Data 321

E SPSS Result-Factor Analysis 332

F SPSS Result-Normality Data (Graphical) 331

G Survey Form 343

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CHAPTER 1

INTRODUCTION

1.0 Introduction

This chapter begins with a general overview on healthcare sector in Malaysia. It

includes a problem statement, research questions, research objectives, significance of

study, scope of study and operational definitions. The structure of the thesis is also

presented at the end of this chapter.

In this study, Hospital Information System (HIS) is seen as an important national

agenda in the Malaysian healthcare system. Thus, an implementable model of HIS

needs to be developed to ensure that the HIS can be successfully executed in the near

future. Accordingly, this study focuses on the development of an implementation model

for HIS in Malaysian public hospitals.

1.1 Healthcare Background in Malaysia

Healthcare sector remains a significant indicator of quality of life of a nation. Therefore,

each country continuously striving to improve their healthcare sector by enhancing the

healthcare management, services and treatments.

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In Malaysia, the healthcare sector is divided into three (3) categories which are

public healthcare, Non-Governmental Organisation (NGO) healthcare and private

healthcare (Ministry of Health, 2011; Rasiah, 2011). Under each category, there are

hospitals and clinics. Public hospitals and clinics are administered by Malaysian

Ministry of Health (MOH) to serve the public, while the NGO hospitals such as

Hospital Universiti Kebangsaan Malaysia and Hospital Universiti Sains Malaysia are

administered by universities to serve the university students and staff. The private

hospitals and clinics, however, are administered by private bodies such as Pantai

Holdings Berhad. Evidently, the public healthcare is the most important healthcare

category in Malaysia because it has the largest number of hospitals and patients.

Improving national healthcare has been always a priority agenda since 6th

Malaysian Plan (MP) but only in the 10th

MP, the Malaysian Government launced

several initiatives under Ministry of Health (MOH) to enhance Information Technology

(IT) applications in public hospitals. Such initiatives are to ensure that public hospital

services become faster, manageable and efficient, for example by implementing Hospital

Information System (HIS) in Malaysian public hospitals. Therefore, this study focused

on issues related to HIS implementation among public HIS‘s hospitals.

1.2 Problem Statement

Even though the Malaysian Government has played an important role to support the

Public Healthcare especially the public hospitals, there are several pressing issues. Most

of these issues are about the services provided by the hospitals.

According to Saari (2007) and Wee & Jomo (2007), the government hospital

services are slow and inefficient where the patients need to wait for a long time to get

their medical treatments. Pillay et al. (2011) claimed that the average waiting time from

registration to getting the prescription slip is more than two hours in his study at

Malaysian public hospitals.

Moreover, according to Ministry of Health (2012), the average negligence cases

reported by the medical staffs are between five to eight cases a month and the number of

negligence cases which reportedly in public hospitals in year 2000 to 2008 has increased

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to 144 cases with 61.9% from the total cases are bought to court (Ministry of Health,

2012). In addition, public hospitals faced with increasing cost of healthcare expense

every year in Malaysia (Ahmadi et al., 2015). For example, RM 6,348,632.28 was spent

on compensation cost for medical negligence cases from year 2000 to May 2009

(Bernama, 2009). Root cause of these cases often arised from large numbers of patients

to be nursed at once and administrative tasks. The implementation of HIS is aimed to

reduce these common management problems in public hospitals. Therefore, Malaysian

Government has enhanced the healthcare quality and reduce the cost (Lee & Ramayah,

2012).

However, HIS implementation is not encouraging in where level of adoption of

HIS is only 60% to 78% worldwide (Hsiao & Hing, 2012, Artmann et al., 2010). This

might caused by different phases of HIS implementation in different categories of

Hospital (Houser, 1984; Rossi et al., 2009). According to Malaysian Ministry of Health

(2012), only 21 out of 138 or 15.2% of Malaysian Public Hospitals has implemented

HIS. From 21 public hospitals that had implemented HIS, 7.8% is categorized as THIS,

1.4% as IHIS and 7.2% as BHIS.

Conversely, several factors have been claimed to influence HIS implementation

for example high initial cost (Boonstra & Broekhuis, 2010; Smelcer et al., 2009), high

initial physician time (Smelcer et al., 2009; Ganesh & Al-Mujaini, 2009), technology

and technical matters (Boonstra & Broekhuis, 2010), lack of skills (Boonstra &

Broekhuis, 2010) and ethical issues (Boonstra & Broekhuis, 2010; McKenzie & Kelly,

2002).

Similarly, Ahmadi et al. (2015) and Sulaiman & Wickramasighe (2014) found

various factors affecting HIS implementation which could be delineated under the

contexts of Technology, Organisation and Environment as proposed by TOE Framework

(Tornatzky & Fleischer, 1990). Majority of these studies focused on THIS hospitals

alone whereby existence of other factors unique to different categories of HIS could not

be unearted. In addition, most of these studies are quantitative in nature.

Moreover, there are limited empirical studies on HIS in Malaysia. Most of these

empirical studies only focused on implementation of THIS alone (Abdul Hamid, 2010;

Ibrahim, 2007; Ismail et al., 2010; Abdullah, 2012; Mohd. Yusof et al., 2008; Hassan,

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2012; Fadhil et al., 2012; Ismail & Ali, 2013; Mohd Amin et al., 2011; Mohamad Yunus

et al., 2013), while others focused on Electronic Medical Records (EMR) since it was

synonym with the HIS (Mohd & Syed Mohamad, 2005; Syed Mohamad et al., 2008;

Nik Ariffin et al., 2010). None has studied the implementation of HIS in different

categories of HIS in public hospitals. Lack of such study would limit our understanding

on how to encourage HIS implementation in Malaysian Public Hospitals. This is

because, most studies discuss HIS for one specific HIS category without integration and

combination other categories of HIS.

1.3 Research Questions

The above of problem statements have led to three research questions as follows:

(i) RQ1: How is HIS being implemented at THIS, IHIS and BHIS‘s hospitals?

(ii) RQ2: What are factors affecting the HIS implementation at THIS, IHIS and

BHIS‘s hospitals?

(iii) RQ3: Is HIS implementation model similar across different categories of HIS‘s

hospitals?

1.4 Research Objectives

Based on the research questions above, three research objectives have been formulated

as follows:

(i) RO1: To explore HIS implementation at THIS, IHIS and BHIS‘s hospitals.

(ii) RO2: To explore factors affecting HIS implementation at THIS, IHIS and

BHIS‘s hospitals.

(iii) RO3: To test HIS implementation model across different categories of HIS‘s

hospitals.

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1.5 Significance of Study

This study contribute to the body of knowledge and fill in the existing literatures gap on

HIS implementation of HIS at different categories of HIS‘s hospitals using mixed

methods approach based on limited qualitative studies of HIS and limited empirical

studies in IHIS and BHIS‘s hospitals in Malaysia.

The HIS implementation model incorporating its implementation phases and

factors affecting it might be used as a guide to refine, improve and enhance the HIS

implementation at different categories of HIS‘s hospitals in future.

Consequently, this study provides empirical data of HIS implementation to give

an in-depth understanding to Ministry of Health (MOH), healthcare sectors, HIS users

and HIS vendors on implementation of different categories of HIS in Malaysian Public

Hospitals. In addition, this study is signicant to the hospitals to overcome their services

especially the longer waiting time and negligence cases towards the patients.

1.6 Scope of the Study

This study focuses on the implementation of Hospital Information System (HIS) in

Malaysian Public Hospitals at Total Hospital Information System (THIS), Intermediate

Hospital Information System (IHIS) and Basic Hospital Information System (BHIS).

This is because, Abdul Hamid (2010), Ismail et al. (2010), Mohd. & Syed Mohamad

(2005) and Syed Mohamad (2008) have categorised HIS into three categories: THIS,

IHIS and BHIS. Thus, this study included hospitals in each category to provide deeper

insight.

This study used two models which are Business Interaction of BAT (Goldkulh,

1998) to provide framework for understanding HIS implementation phases, and the TOE

framework (Tornatzky & Fleischer, 1990) to understand factors affecting the HIS

implementation at different categories of HIS‘s hospitals. The participants for

qualitative phase were chosen among the hospital directors, Physicians, Information

Technology (IT) officers and HIS users. While, quantitative phase was conducted

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among HIS users to determine factors affecting the HIS implementation at different

categories of HIS‘s hospitals.

1.7 Operational Definition

Operational definition remains important in giving clear definitions of major

terminologies, especially to avoid an uncertainty in understanding the information

contains along the study, as follows:

Development – The process of starting to experience of creating something over a period

of time.

Implementation - Implementation is efforts, including the phases and stages which are

applied to be develop a new innovation to accomplish an objective in an Organisation.

Model - A structure of of ideas or facts that provide support as an example to follow or

imitate.

Information Technology - Technologies, techniques and equipments of computers and

electronic devices used by people to acquire, store, retrieve, evaluate, distribute and

exchange the data and information in Organisations.

Information System - Information System (IS) is a system designed to work with

electronic devices like computers to collect, record, process, store, retrieve and display

information and to attain an objective by an Organisation

Hospital Information System (HIS) - HIS refered to an integrated electronic systems

that collect, store, retrieve and display overall patients‘ data and information such as

history of patients‘ information, results of laboratory test, diagnoses, billing and others

related hospital‘s procedures which are used in several departments within the hospitals

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Public Hospitals - Public Hospitals refered to the hospitals administered by Malaysian

Government under Malaysian Ministry of Health.

Total Hospital Information System - Total Hospital Information System is an integrated

systems under the HIS which is brings a complete Information System to be linked or

connected in every departments within the hospitals to achieve paperless hospitals.

Intermediate Hospital Information System - Intermediate Hospital Information System

is an integrated system under the HIS which is brings half or intermediate set of

integrated systems of what the THIS have to be linked or connected in several

departments within the hospitals.

Basic Hospital Information System - Basic Hospital Information System is an

integrated system under the HIS which is brings a basic or least set of integrated systems

of what the IHIS have to be linked or connected in several departments within the

hospitals.

1.8 Structure of the Thesis

This study has seven chapters. Each chapter has its own contents which relates to the

implementation of HIS in Malaysian Public Hospitals. Thus, the contents had been

identified as follows: Introduction, Literature Review, Research Methodology, Data

Analysis, Qualitative Findings, Quantitative Findings and Conclusion.

Chapter 1 introduces the overall study. It includes the general introduction, background

of problem, problem statement, research questions, research objectives, significance of

study, limitation of study, operational definitions and structure of the thesis

Chapter 2 discusses the literature review. It provides background of healthcare in

Malaysia, HIS in Malaysia, acceptance theories of IS and previous HIS study in

Malaysia. It provides an understanding of the HIS implementation based on previous

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conceptual and empirical HIS studies. In addition, a theoretical framework was

developed as interview guide for data collection process.

Chapter 3 explaines the research methodology. This chapter had been divided into two

phases which are qualitative and quantitative research, as this study employed mixed

methods. Both phases are includes the research method and data collection techniques

used in this study.

Chapter 4 describes the qualitative findings. These findings are divided into three case

study as follows: Case Study 1: Total Hospital Information system (THIS), Case study

2: Intermediate Hospital Information system (IHIS) and Case Study 3: Basic Hospital

Information System (BHIS). These findings have meets the research objectives number

1, 2 and 3 based on interview data.

Chapter 5 describes the quantitative findings. These findings were analysed to test and

confirm the qualitative findings. These findings have meets the research objectives

number 4 based on survey data.

Chapter 6 describes discussions. It provides the discussions of both qualitative and

quantitative findings, as well as research contribution based on this study.

Chapter 7 describes conclusion and recommendation. It provides the conclusion on

HIS implementation in Malaysian public hospitals, as well as recommendations or

suggestions.

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CHAPTER 2

LITERATURE REVIEW: IMPLEMENTATION OF HOSPITAL

INFORMATION SYSTEM (HIS) IN MALAYSIAN PUBLIC HOSPITALS

2.0 Introduction

Literature review is an important part in conducting a research. Its main purposes are to

develop a deeper understanding of a research topic and to widen a researcher‘s

knowledge base of the study. This chapter presents a literature review of the

implementation of Hospital Information System (HIS). This review is important to

compare and critique the available information, which will provide guidance and support

for the current research; the sources of these relevant data are related articles, research

papers, conference papers, seminar papers, seminar handouts, journals and books from

all over the world.

Discussions of this chapter centre around three important areas essential to this

section. The first area introduces healthcare in Malaysia, and healthcare transformation

which encompasses history, implementation as well as associated issues and challenges

in Malaysia and abroad. The second area explains the nature and characteristics of HIS

and its components, development and implementation phases. The third area discusses

related theories and previous studies.

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2.1 Healthcare in Malaysia

All sectors of the healthcare system are pivotal and beneficial to the welfare of the

Malaysian citizens. The overall healthcare system provides them with medical

treatments for a better quality of life. According to the Department of Statistics,

Malaysia (2015), there are 30.73 million of Malaysian population, in year of 2015. The

population growth is 81.40 percent compared to last year.

This statistics clearly indicated that more than 30 millions of Malaysian citizens

might be using healthcare services. Healthcare services are offered by both public

hospitals, private hospitals and NGO‘s hospitals (Ministry of Health, 2014). Table 2.1

shows the numbers of patients admission in different categories of hospitals. The total

number of admissions in the public hospitals is 2,110,628 patients compared with

1,020,397 patients in private hospitals. These statistics show huge numbers of patient

admissions in Malaysian public hospitals. Clearly, public hospitals have the largest

numbers of patients admission. Table 2.1 proves that the public healthcare sector is the

citizens‘ priority to seek medical treatments.

Table 2.1 Total Number of Patient Admissions (Adapted from Ministry of Health

Malaysia, 2015)

State

Public Sector

Private Sector

Total

Admission Hospital Special

Medical

Institution

Non-MOH

Perlis 33,618 - - - 33,618

Kedah 194,799 - - 49,076 243,875

Pulau Pinang 129,432 - - 165,407 294,839

Perak 229,990 2,405 3,633 90,643 326,671

Selangor 355,803 78 - 315,673 671,554

W.P. Kuala

Lumpur

128,595 3,628 100,501 168,400 401,124

W.P. Putrajaya n.a 2,929 - - 2,929

W.P. Labuan 7,432 - - - 7,432

Negeri Sembilan 112,215 - 337 50,973 163,525

Melaka 83,885 - 3,354 60,112 147,351

Johor 318,154 1,315 - 91,584 410,910

Pahang 152,039 0 - 18,117 170,156

Terengganu 132,894 0 - 2,859 135,753

Kelantan 137,664 0 40,420 17,968 196,052

Sabah 196,502 47,412 205 13,748 257,766

Sarawak 194,100 573 - 38,641 233,258

Malaysia 2,407,122 58,040 148,450 1,083,201 3,696,813

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According to the Ministry of Health Malaysia (2015), there were 35,318 beds in

the 138 public hospitals in Malaysia. The number was higher compared to the 13,038

beds in 184 private hospitals in Malaysia. The Bed Occupancy Rate (BOR) and Total

Patient Days (TOD) has increased from 2011 to 2012 in all types of public hospitals

except the medical institutions.

Table 2.2: Bed Occupancy Rate (BOR) and Total Patient Days (TOD) (Adapted

from Ministry of Health Malaysia, 2012) Type of

Hospital by

Functional

Classification

Bed Occupancy

Rate (BOR) %

Average Length

of Stay (ALOS)

Days

Turn Over

Internal (TOI)

Total Patient Days

(TOD)

2011 2012 2011 2012 2011 2012 2011 2012

Hospital

Kuala

Lumpur and

State Hospital

79.71 81.28 4.40 4.3 1.21 0.99 3,574,879 3,876,589

Major

Specialiast

Hospital

75.61 76.16 2.41 3.79 1.39 1.19 2,679,046 2,996,244

Minor

Specialist

Hospital

53.00 57.71 3.10 3.13 3.77 2.3 733,481 727,288

Non-

Specialist

Hospital

47.30 46.98 2.77 2.73 3.84 3.09 943,377 930,006

Specialist

Medical

Institution

66.08 78.62 204.1 23.9 78.7 6.5 1,124,519 1,244,779

All these statistics show that the numbers of patients increases every year,

especially in public hospitals. This increasing demand for medical services has exerted

pressure on the public hospitals. Consequently, there are several issues faced by the

Malaysian public hospitals related to their care and services. These includes inequity in

access to health services, inappropriate interventions and treatments as demanded by

patients or induced by providers, varying quality and standards of care and costs

insufficient number of experienced specialists, limited or imbalanced medical facilities

and workload complexity due to the increasing number of patients (Ministry of Health,

2012).

The above statistics and information indicate that the public healthcare sector

plays a more prominent role compared to the private healthcare. The public healthcare

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sector appears to become more complex since be serves patients twenty four hours a

day.

2.1.1 Malaysian Public Hospitals

The increasing numbers of patients seeking treatments from public hospitals caused

more public hospitals to be built from year to year. For example, there are 135

Malaysian public hospitals in 2010 (Ministry of Health Malaysia, 2012). However, as to

June 2015, there are 138 public hospitals in Malaysia (Ministry of Health, 2015). The

hospitals are located in every state and city within the country as shown in Table 2.3.

These public hospitals are divided into two categories: (1) Specialist Hospital and

Institutions and (2) Non-specialist Hospitals.

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Table 2.3: Categories and Lists of Malaysian Public Hospitals (Adapted from

Ministry of Health Malaysia, 2015)

Specialist Hospitals and Institution

State Hospitals Major Specialist

Hospitals

Minor Specialist

Hospitals

Special Medical

Institutions

1. Hospital Kuala

Lumpur

2. Hospital Tuanku

Fauziah, Kangar

3. Hospital Sultanah

Bahiyah, Alor

Setar

4. Hospital Pulau

Pinang

5. Hospital Raja

Permaisuri Bainun,

Ipoh

6. Hospital Tengku

Ampuan Rahimah,

Klang

7. Hospital Tuanku

Jaafar, Seremban

8. Hospital Melaka

9. Hospital Sultanah

Aminah, Johor

Bahru

10. Hospital Tengku

Ampuan Afzan,

Kuantan

11. Hospital Sultanah

Nur Zahirah, Kuala

Terengganu

12. Hospital Raja

Perempuan Zainab

II, Kota Bharu

13. Hospital Umum

Sarawak, Kuching

14. Hospital Queen

Elizabeth, Kota

Kinabalu

1. Hospital Putrajaya

2. Hospital Sultan

Abdul Halim,

Sungai Petani

3. Hospital Kulim

4. Hospital Seberang

Jaya

5. Hospital Taiping

6. Hospital Teluk Intan

7. Hospital Sungai

Buloh

8. Hospital Ampang

9. Hospital Selayang

10. Hospital Serdang

11. Hospital Kajang

12. Hospital Tuanku

Ampuan Najihah,

Kuala Pilah

13. Hospital Pakar

Sultanah Fatimah,

Muar

14. Hospital Sultan

Ismail, Pandan

15. Hospital Sultanah

Nora Ismail, Batu

Pahat

16. Hospital Segamat

17. Hospital Sultan Haji

Ahmad Shah,

Temerloh

18. Hospital Kemaman

19. Hospital Kuala Krai

20. Hospital Sibu

21. Hospital Miri

22. Hospital Bintulu

23. Hospital Duchess of

Kent, Sandakan

24. Hospital Tawau

25. Hospital Queen

Elizabeth II, Kota

Kinabalu

26. Hospital Tanah

Merah

1. Hospital Labuan

2. Hospital Langkawi

3. Hospital Kepala

Batas

4. Hospital Bukit

Mertajam

5. Hospital Sri

Manjung

6. Hospital Slim

River

7. Hospital Grik

8. Hospital Kuala

Kangsar

9. Hospital Banting

10. Hospital Port

Dickson

11. Hospital Kluang

12. Hospital Kota

Tinggi

13. Hospital Kuala

Lipis

14. Hospital Bentong

15. Hospital Pekan

16. Hospital Kapit

17. Hospital Limbang

18. Hospital Sarikei

19. Hospital Sri Aman

20. Hospital Datin Seri

Endon Lahad Datu

21. Hospital Keningau

22. Hospital Beaufort

23. Hospital Kota

Marudu

24. Hospital Wanita

dan Kanak-Kanak,

Likas

25. Hospital Dungun

26. Hospital Tampin

27. Hospital Mukah

1. Institut

Perubatan

Respiratori,

Kuala Lumpur

2. Pusat Darah

Negara, Kuala

Lumpur

3. Pusat Kawalan

Kusta Negara,

Sungai Buloh

4. Hospital

Bahagia, Ulu

Kinta

5. Hospital Permai,

Johor Bahru

6. Hospital Mesra,

Kota Kinabalu

7. Hospital

Sentosa,

Kuching

8. Hospital Wanita

& Kanak-Kanak

Likas

9. Hospital

Rehabilitasi

Cheras

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The Specialist Hospitals and Institutions are further categorised as follows: State

Hospitals, Major Specialist Hospitals, Minor Specialist Hospitals, and Special Medical

Institutions. In total, there are 71 specialist hospitals and institutions in the Malaysian

public healthcare system (Ministry of Health, 2015).

Non-Specialist Hospitals

1. Kedah

a. Hospital Baling

b. Hospital Jitra

c. Hospital Kuala

Nerang

d. Hospital Sik

e. Hospital Yan

f. Pulau Pinang

g. Hospital Balik

Pulau

h. Hospital Sungai

Bakap

i. Perak

j. Hospital Batu

Gajah

k. Hospital

Changkat

Melintang

l. Hospital Kampar

m. Hospital Parit

Buntar

n. Hospital Selama

o. Hospital Sungai

Siput

p. Hospital Tapah

q. Selangor

r. Hospital Kuala

Kubu Baru

s. Hospital Tanjung

Karang

t. Hospital Tengku

Ampuan Jemaah,

Sabak Bernam

2. Negeri Sembilan

a. Hospital Jelebu

b. Hospital Jempol

c. Hospital Tampin

3. Melaka

a. Hospital Alor

Gajah

b. Hospital Jasin

4. Johor

a. Hospital Mersing

b. Hospital Pontian

c. Hospital Tangkak

d. Hospital

Temenggong Sri

Maharaja Tun

Ibrahim, Kulai

5. Pahang

a. Hospital Jengka

b. Hospital Jerantut

c. Hospital Muadzam

Shah

d. Hospital Raub

e. Hospital Sultanah

Hajjah Kalsom,

Cameron

Highlands

6. Terengganu

a. Hospital Besut

b. Hospital Dungun

c. Hospital Hulu

Terengganu

d. Hospital Setiu

7. Sarawak

a. Hospital Bau

b. Hospital Betong

c. Hospital Daro

d. Hospital Dalat

e. Hospital Kanowit

f. Hospital Lawas

g. Hospital Lundu

h. Hospital Marudi

i. Hospital Rajah

Charles Brooke

Memorial,

Kuching

j. Hospital Saratok

k. Hospital Serian

l. Hospital

Simunjan

8. Kelantan

a. Hospital Gua

Musang

b. Hospital Jeli

c. Hospital

Machang

d. Hospital Pasir

Mas

e. Hospital Tengku

Anis, Pasir Puteh

f. Hospital Tumpat

9. Sabah

a. Hospital

Beluran

b. Hospital

Kinabatangan

c. Hospital Kota

Belud

d. Hospital Kuala

Penyu

e. Hospital Kudat

f. Hospital Kunak

g. Hospital Papar

h. Hospital Pitas

i. Hospital Ranau

j. Hospital

Semporna

k. Hospital

Sipitang

l. Hospital

Tambunan

m. Hospital Tenom

n. Hospital Tuaran

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2.2 Healthcare Services and Transformation in Malaysia

Vision 2020 is to gear Malaysia to become a developed country not only in terms of

economic but also political, social, spiritual, psychological and cultural (Ministry of

Health Malaysia, 2012). It is expected to form a national unity and social cohesion in

terms of economy, social justice, political stability, system of government, quality of

life, social and spiritual values, national pride and confidence (Ministry of Health

Malaysia, 2012). Four pillars of National Transformation have been developed to guide

the nation to achieve its Vision 2020 (National Economic Advisory Council, 2010).

These pillars are:

(i) 1Malaysia

(ii) Government Transformation Programme (GTP)

(iii) Economic Transformation Programme (ETP)

(iv) Tenth Malaysia Plan

Figure 2.1: Four Pillars of National Transformation (Adapted from National

Economic Advisory Council, 2010)

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According to Prime Minister Office (2011), Economic Transformation

Programme (ETP) Plan which is in tandem in New Economic Model (NEM) is driven

by eight Strategic Reform Initiatives (SRIs) to strengthen twelve areas of National Key

Economic Areas (NKEAs) as shown in Table 2.4.

Table 2.4: Strategic Reform Initiatives (SRIs) and National Key

Economic Areas (NKEAs) (Adapted from Prime Minister Office, 2011)

SRIs NKEA

i) Re-energising the private sector

ii) Developing quality workforce

iii) Competitive domestic economy

iv) Strengthen the public sector

v) Transparent and Market-friendly

Affirmative Action

vi) Building knowledge based information

vii) Enhance sources of growth

viii) Ensuring sustainability of growth

i) Oil, gas and energy

ii) Palm oil and rubber

iii) Financial services

iv) Tourism

v) Business services

vi) Electronics and electrical

vii) Wholesale and retail

viii) Education

ix) Healthcare

x) Communications content and

infrastructure

xi) Agriculture

xii) Greater Kuala Lumpur/Klang Valley

As shown in the Table 2.4, healthcare has been identified as one of National Key

Economic Areas (NKEAs) among the twelve sectors. All these NKEAs are to propel

Malaysia‘s future growth by executing Strategic Reform Initiatives (SRIs).

Healthcare as one of NKEAs has been prioritize in the development of

Malaysian Plans, particularly in the Tenth Malaysia Plan (MP). The Tenth MP signifies

the beginning of healthcare transformation in Malaysia in the context of integrating

healthcare information system.

According to Prime Minister Office (2010), there are four key areas under the

healthcare sector in the Tenth MP which are: (1) transforming delivery of the healthcare

system, (2) increasing quality, capacity and coverage of the healthcare infrastructure, (3)

shifting towards wellness and disease prevention rather than treatment, and (4)

increasing the quality of human resource in terms of health. In addition, six National

Strategic Directions have been formulated identified to support the Tenth Malaysian

Plan (Prime Minister Office, 2010) as follows:

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•Establish a comprehensive healthcare system & recreational infrastructure

Strategy 1

•Encourage health awareness & healthy lifestyle activities Strategy 2

•Empower the community to plan or implement individual wellness programme (responsible for own health)

Strategy 3

•Transform the health sector to increase the efficiency and effectiveness of the delivery system to ensure universal access

Strategy 4

(i) Competitive Private Sector as the Engine of Growth

(ii) Productivity and Innovation through K-economy

(iii) Creative and Innovative Human Capital with Twenty-first Century Skills

(iv) Inclusiveness in Bridging Development Gap

(v) Quality of Life of an Advanced Nation

(vi) Government as an Effective Facilitator

Quality of Life of an Advanced Nation is further delineated into Quality

Healthcare and Active Healthy Lifestyle with their subsequent strategies as shown in

Figure 2.2.

Figure 2.2: Strategies to Quality Healthcare and Active Healthy Lifestyle

(Adapted from Ministry of Health, 2013)

According to the Ministry of Health Malaysia (2013) in Health Country Plan:

Tenth Malaysia Plan, three KRAs for the health sector have been identified from these

strategies, namely Health Sector Transformation towards a More Efficient and Effective

Health System in Ensuring Universal Access to Healthcare (KRA 1), Health Awareness

and Healthy Lifestyle (KRA 2), and Empowerment of Individual and Community to be

responsible for their health (KRA 3) as shown displayed in Table 2.5.

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Table 2.5: Key Research Areas (KRAs) for Health Sector (Adapted from

Ministry of Health Malaysia, 2013)

Health Sector Transformation

Towards A More Efficient &

Effective Health System in

Ensuring Universal Access to

Healthcare (KRA 1)

Health Awareness & Healthy

Lifestyle (KRA 2)

Empowerment of Individual and

Community to be responsible for

their health (KRA 3)

(i) Streamline/ realign

healthcare delivery system

(ii) Unified healthcare financing

system

(iii) Common quality and

standard of care

(iv) Adequate and competent

workforce

(v) Strengthening healthcare

legislation and enforcement

(vi) Strengthening

implementation, monitoring

and evaluation system

(vii) ICT as enabler

(i) Increase access to health

knowledge

(ii) Motivate individuals, family

and community to acquire

knowledge and skill

(iii) Increase opportunities to

practice healthy lifestyle at

workplace, schools, home etc.

(iv) Formulate and enforce public

policy towards healthy

lifestyle

(i) Strategies to increase health

literacy

(ii) Provision of health information,

including cost of care and

governance policies

(iii) Providing avenues for effective

complaints or enquiries

regarding health providers

(iv) Mobilize civil society (NGOs,

support groups, community

leaders)

As shown in table 2.5, KRA 1 highlighted ICT as enabler, which are further

translated into several initiatives including introduction of HIS in Malaysian public

hospitals.

2.3 Hospital Information System (HIS)

Hyung-Joon et al. (2004) defined HIS as a system focusing on the integration of clinical

applications collectively with financial and administrative functions to increase service

efficiency. Winter & Haux (1995) and Fang et al. (2007) defines HIS as all the

information processing activities within a certain hospital, including the information

processing tools used to contribute to high-quality patient care and medical research.

Ibrahim (2007), claimed that HIS is a systematic integrated system within the hospital

that enable patient registration, medical charting and review, appointment handling

management, drug prescribing and dispensing, X-ray images storage and management,

automatic bill changing, laboratory ordering and reporting, inventory and store

management, and other routine processes and workflow. Fang et al. (2007) claim that

the system is supported with information sharing between hospitals, doctors, patients

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Hospital Information

System (HIS) Components

Clinical Information

System (CIS) Financial

Information System (FIS)

Laboratory Information

System (LIS)

Nurse Information

System (NIS)

Pharmacy Information

System (PIS)

Picture Archiving

Communication System (PACS)

Radiology Information

System (RIS)

and administrations. All these definitions implied that HIS must be integrated within the

hospital and have several components to improve hospital efficiency. In Malaysia, HIS

is defined as an integrated system or components uses within the hospital (Suleiman,

2008).

2.3.1 Components of Hospital Information System (HIS)

Biomedical Informatics Ltd. (2006) reported that HIS consists of two or more of these

components: Clinical Information System (CIS), Financial Information System (FIS),

Laboratory Information System (LIS), Nursing Information System (NIS), Pharmacy

Information System (PIS), Picture Archiving Communication System (PACS) and

Radiology Information System (RIS) as shown in Figure 2.3.

Figure 2.3: Components in Hospital Information System (HIS) (adapted from

Biomedical Informatics Ltd., 2006).

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These components of HIS are differentiated by their core functions, departments

that used them and type of users as shown on Table 2.6.

Table 2.6: Differences of HIS Components

HIS

component Core Functions

Differences

Departments Type of

Users

Clinical

Information

System (CIS)

A computer-based system designed for collecting, storing,

manipulating, and making clinical information accessible

to the healthcare delivery process. It is also defined as

computer-supported applications with a relatively large

and long-term database containing clinical data that are

used to assist in the management of patient care (Blum,

1986). A CIS may be limited in extent to a single area

(e.g. laboratory systems and ECG management systems)

or it may be more widespread and include virtually all

aspects of clinical information (e.g. electronic medical

records). Used by doctors and nurses in a clinical

department.

Clinical Doctors,

Nurses

Financial

Information

System (FIS)

A computer system that manages the business aspects of a

hospital such as payroll, patient accounting, accounts

payable, accounts receivable, general ledger, fixed asset

management, claims management and contract

management. It used by accountants of finance

departments in hospitals.

Financial Accountants

Laboratory

Information

System (LIS)

A computer information system that manages laboratory

information for all the laboratory disciplines such as

clinical chemistry, haematology, and microbiology. It

provides modules for sending laboratory test order to the

instruments through its multiple instrument interfaces

tracks those orders and then captures the results as soon as

they become available. The results can then be analysed

and a report is generated. It used in a laboratory by

laboratory officers.

Laboratory Lab officers

Nursing

Information

System (NIS)

A computer systems that manage clinical data from a

variety of healthcare environments, which are then

available in a timely and orderly to aid nurses in

improving patient care at wards.

Ward, clinics Nurses,

Doctors

Pharmacy

Information

System (PIS)

It consists of complex computer systems that are designed

to meet the needs of a pharmacy department. Through the

use of such system, pharmacists can supervise and store

inputs on how medication is used in a hospital. It assists in

providing patient care by monitoring drug interactions,

drug allergies and other possible medication-related

complications.

It used by the pharmacists at pharmacy department.

Pharmacy Pharmacists

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In Malaysia, the different categories of HIS have different components as shown

in Table 2.7. Hence, Suleiman (2008) explained the various IS components involved in

THIS, IHIS and BHIS shown in Table 2.7. THIS has all the features of the complete

HIS, while IHIS and BHIS have the essential components of HIS. THIS is also called

paperless hospitals in Malaysia.

Table 2.7: The components of HIS in Malaysia

2.4 Development of Hospital Information System (HIS)

In the 1960s, a physician named Lawrence L. Weed first expressed the idea of

computerised or electronic medical records when he introduced the concept of the

Problem Oriented Medical Information System (PROMIS) into medical practice at the

University of Vermont (Weed, 1964; Weed & Zimny, 1989). In 1967, the development

of an automated system started. Later, in 1970, the Problem-Oriented Medical Record

(POMR) was used in a medical ward of the Medical Centre Hospital of Vermont for the

first time, including a touch screen technology (Goldberg, 1988; Lee et al., 2009).

Picture

Archiving

Communicati

on System

(PACS)

A set of systems that facilitate the archiving, processing

and viewing of digital radiological images and their

related information. The images are acquired, archived

and retrieved over a network for diagnosis and review by

physicians. These images can be interpreted and viewed at

workstations, which can also double up as archive stations

for image storage. It used in the x-ray and imaging

department of a hospital.

Imaging Imaging

Officers

Radiology

Information

System (RIS)

A computer system that assists radiology services in the

storing, manipulation and retrieving of information. The

function of an RIS is to manage and store radiology

information. The system is used by radiologists. It used

by radiologists at radiology department.

Imaging Radiologists

Total Hospital Information

System (THIS)Basic

Intermediate Hospital

Information System (IHIS)

Hospital Information System

(BHIS)

IHIS + Radiology + PACS +

administration + Financial +

Inventory + Personnel

Information System

Integration of BHIS + Laboratory

+ Pharmacy Information System

Patient Management System +

Clinical Information System

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Other examples of HIS for the early inpatient care systems are the Hospital-

Based Technical System, Harvard‘s Computer-Stored Ambulatory Record (COSTAR)

system for ambulatory care and Health Evaluation Through Logical Processing (HELP)

system (Zielstorff et al., 1985; Soini & Tolppanen, 1982; Lumsdon, 1993; Gardner &

Lundgaarde, 1994).

Although the concept was widely spreading in the medical practice, physicians

initially were not attracted to the technology due to integration problem (Starfield et al.,

1976). Furthermore, Subjective and Objective observation, Assessment and Plan

(SOAP) could be inappropriately complex for simple patient care problems and in some

instances, Problem-Oriented Medical Record (POMR) did little to organise the narrative

and confusing note keeping of the healthcare professionals (Switz, 1976).

Today, the HIS implementation has wide spreading around the globe. For

example, the United Kingdom employed Health Information Technology (HIT)

(Detmer, 2000), United States, Canada, United Kingdom (UK), Germany, Netherlands,

Australia, and New Zealand employed Electronic Health Record (EHR) (Jha et al.,

2008; Inokuchi et al., 2014; Protti et al., 2009), Switzerland employed DIOGENE (Borst

et al., 1999; Breant et al., 2000), Germany employed Smart-Card Technology, Taiwan

employed Taiwan‘s Bureau of National Health Insurance (TBNHI) smart card (Liu et

al., 2006), Japan employed electronic medical records (EMR), New Zealand employed

E-Health (Otieno et al., 2008), Spain employed Diraya (Protti et al., 2009) and Denmark

employed Medcom (Protti et al., 2009).

However, the rate of HIS implementation in developing countries is slower than

that of the developed countries. This is because the planning and implementation of HIS

began late in most developing countries. However, the HIS is implemented widely in

most developing countries such as Greece, Indonesia and China.

The Greek government introduced HIS in the country about 18 years ago to

change the healthcare and patient management in the hospitals (Zikos et al., 2009). The

Greek version of HIS is known as Hospital Information System Implementation

Assessment Tool (HIS.I.A.T) (Zikos et al., 2009). HIS has also been developed and

implemented in Indonesian hospitals to improve the healthcare services as the system

becomes popular in other countries. Thus, in 2005, an Indonesian version of HIS,

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namely SIRS was implemented in RAA Soewondo Hospital (Hidayanto et al., 2012).

Hence, the Indonesian Government programmes through its Ministry of Health launched

the electronic health (e-health) in 2011 (Hayani et al., 2013). All hospitals are required

to have HIS for health care. Until 2012, there were six teaching hospitals that have

implemented HIS. China‘s hospital information systems have been progressively

developed over the last twenty years to provide the essential support for medical care

(Fang et al., 2007). This is because HIS is one of the requirements in modern hospitals

that enables information-sharing within a hospital and with users. HIS in China is

separated into two parts, the management information system to manage administrative

requirements and the clinical information system to manage clinical requirements (Rao,

2008).

In a nutshell, the HIS has been applied in both developed and developing

countries as it benefits to the hospital environment and patients in enhancing healthcare

quality and services, although it has different terms using in different countries. Thus,

any study of HIS implementation need to explore issues related to HIS implementation

phases.

2.5 Hospital Information System (HIS) Implementation Phases

The HIS implementation phases remains important to systematic procedures planning to

attain optimum efficiency of system functions. This is to ensure proper functioning of

the system when it is used by the hospital staff.

Houser et al. (1984) indicated that the HIS implementation process is divided into

three phases, namely preparatory activities for system implementation, certification and

acceptance testing, and system implementation as explained below:

(i) Preparatory Phase

In this phase, the site preparation needs to be arranged. In this area, the determination of

specifications for a computer supplier, design facility and environmental factors had

been set. In addition, a project team comprising staff, representatives of the

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multidisciplinary user community, and the contractor‘s personnel will manage the

automated implementation of the system.

(ii) Certification and Acceptance Testing Phase

In the second phase of HIS implementation, the system should be tested. This includes

certification and acceptance testing of a hospital information system, which includes for

example, material preparation test to actual conduction test for final analysis. The test is

conducted by a small group of staff members who are familiar with the system.

(iii) System implementation

The last phase is the completion of an automated system, which requires a plan of

action. The plan includes an implementation strategy, according to departments within

the hospital. This phase also involves the installation of the system to be used within the

hospital.

However, Rossi (2009) claimed the HIS implementation process entails only two

phases, which are preparatory phase and utilisation phase. The preparatory activities

are:

(i) Involvement of stakeholders in the system programming

(a) Reviewing the existing hospital data, identifying gaps and needs at

different levels of a hospital‘s network

(b) Defining of the most appropriate reporting tools

(c) Deciding on the coding system for different types of collected

information

(d) Defining of methods for data collection and processing, and acquisition

of the requisite materials

(e) Organising educational programmes for data managers and users

The preparatory phase also cover the designing and development of a system

according the needs of a hospital. The second phase of utilisation comprises of three

activities, which include:

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REFERENCE

Aaronson, J., Murphy-Cullen, C., Chop, W., & Frey, R. (2001). Electronic medical

records: the family practice resident perspective. Family Medicine-Kansas City,

33(2), 128-132.

Abdul Hamid, N. (2010). Accessibility Hospital Information System – Malaysian

Experience. In 30th International Seminar for Public Health Group (PHG) of the

Union of International Architectes (UIA).

Abdullah, Z. (2012). Hospital Information Systems Implementation: Testing a Structural

Model. In 8th International Conference of Information Science and Digital Content

Technology (ICIDT), (74-81).

Abouzahra, M. (2014) Clinical Decision Support Systems Continuance: Integrating

Physicians‘ Professional Identity with Delone &McLean IS Success Model. In

SIGHCI 2014 Proceedings, (Paper 7).

Akca, Y., & Ozer, G. (2014). Diffusion of Innovation Theory and Animplementation on

Enterprise Resource Planning Systems. International Journal of Business and

Management, 9(4), p92.

Adams, D., Nelson, R., & Todd, P. (1992). Perceived usefulness, ease of use, and usage

of information technology: a replication. MIS Quarterly, 227-247.

Agourram, H. & Talet, An. (2006). The Evaluation of Information Systems Success: a

new perspective. In 6th Global Conference on Business and Economics, October 15-

17, Gutman Conference Centre, USA.

Ahmadian, L., Nejad, S. S., & Khajouei, R. (2015). Evaluation methods used on health

information systems (HISs) in Iran and the effects of HISs on Iranian healthcare: A

systematic review. International journal of medical informatics, 84(6), 444-453.

Ahmadi, H., Ibrahim, O., Thrusamy, R., Mun, W., Mojtaba, A., Jafakarimi, H., &

Almaee, A. (2015). Exploring Potential Factors in Total Hospital Information

Page 47: DEVELOPMENT OF IMPLEMENTATION MODELS FOR …eprints.uthm.edu.my/9228/1/Nurul_Izzatty_Ismail.pdf · iv development of implementation models for hospital information system (his) in

265

System Adoption. Journal Of Soft Computing And Desicion Support Systems, 2(1),

52-59.

Ahmadi, H., Nilashi, M., & Ibrahim, O. (2015). Organisational decision to adopt

hospital information system: An empirical investigation in the case of Malaysian

public hospitals. International Journal Of Medical Informatics, 84(3), 166-188.

doi:10.1016/j.ijmedinf.2014.12.004.

Ahmadi, M., Rezaei, H., & Shahmoradi, L. (2008). Electronic health record: structure,

content, and evaluation. Tehran: Jafari Publication, 4-8.

Ajzen, I. (1985). From intentions to actions: A theory of planned behaviour (pp. 11-39).

Springer Berlin Heidelberg.

Ajzen I. (1989) Attitude structure and behavior. In Attitudes Structure and Function.

(Edited by Pratkanis AR, Breckler SJ and Greenwald AG), pp. 241-274. Erlbaum,

Hillsdale, New Jersey, USA.

Ajzen, I. (1991). The theory of planned behavior. Organisational behavior and human

decision processes, 50(2), 179-211.

Ajzen, I. (2001). Nature and operation of attitudes. Annual Review of Psychology, 52,

27-58.

Ajzen, I., & Fishbein, M. (1980). Understanding attitudes and predicting social

behavior. Englewood Cliffs, NJ: Prentice-Hall.

Akbar, F. (2013, October 21). What affects students acceptance and use of technology?.

Retrieved from Dietrich College Honors Theses.:

http://repository.cmd.edu/hsshonors/179

Al-Ajam, A. S., & Nor, K. M. (2013). Influencing factors on behavioral intention to

adopt Internet banking service. World Applied Sciences Journal, 22(11), 1652-1656.

Albarq, A. N., & Alsughayir, A. (2013). Examining theory of reasoned action in internet

banking using SEM among Saudi consumers. International Journal of Marketing

Practices, 1(1), 16-30.

Aldosari, B. (2014). Rates, levels, and determinants of electronic health record system

adoption: A study of hospitals in Riyadh, Saudi Arabia. International journal of

medical informatics, 83(5), 330-342.

Page 48: DEVELOPMENT OF IMPLEMENTATION MODELS FOR …eprints.uthm.edu.my/9228/1/Nurul_Izzatty_Ismail.pdf · iv development of implementation models for hospital information system (his) in

266

Al-Hakim, L. (2007). IDEF3-based framework for web-based hospital information

system. IRM Press (IGI Global).

Alharbi, S., & Drew, S. (2014). Using the technology acceptance model in

understanding academics‘ behavioural intention to use learning management

systems. learning, 5(1), 143-155.

Aliaga, M., & Gunderson, B. (1999). Interactive statistics. Prentice Hall.

Allen, E., & Seaman, C. A. (2007). Likert Scales and Data Analyses. Quality Progress,

40, 64-65.

Alleyne, P., & Broome, T. (2011). Using the theory of planned behaviour and risk

propensity to measure investment intentions among future investors. Journal of

Eastern Caribbean Studies, 36(1), 1-20.

Al-Qirim, N. (2007). The adoption of eCommerce communications and application

technologies in small businesses in New Zealand. Electronic Commerce Research

and Applications, 6(4), 462-73.

Alwahaishi, S., & Snásel, V. (2013). Acceptance and Use of Information and

Communications Technology: A UTAUT and Flow Based Theoretical

Model.Journal of technology management & innovation, 8(2), 61-73.

Al Zefeiti, S. M. B., & Mohamad, N. A. (2015). Methodological Considerations in

Studying Transformational Leadership and its Outcomes. International Journal of

Engineering Business Management, 7.

Amin, H., Rahim Abdul Rahman, A., & Abdul Razak, D. (2014). Consumer acceptance

of Islamic home financing. International Journal of Housing Markets and Analysis,

7(3), 307-332.

Anderson, C. (2010). Presenting and evaluating qualitative research. American journal

of pharmaceutical education, 74(8), 141.

Anderson, J. (2007). Social, ethical and legal barriers to e-health. International Journal

Of Medical Informatics, 76(5), 480--483.

Anderson, G. F., Frogner, B. K., Johns, R. A., & Reinhardt, U. E. (2006). Health care

spending and use of information technology in OECD countries.Health Affairs,

25(3), 819-831.

Page 49: DEVELOPMENT OF IMPLEMENTATION MODELS FOR …eprints.uthm.edu.my/9228/1/Nurul_Izzatty_Ismail.pdf · iv development of implementation models for hospital information system (his) in

267

Andrews, V., Tonkin, E., Lancastle, D., & Kirk, M. (2014). Using the Diffusion of

Innovations theory to understand the uptake of genetics in nursing practice:

identifying the characteristics of genetic nurse adopters. Journal of advanced

nursing, 70(4), 878-893.

Ang, C., Davies, M., & Finlay, P. (2001). An empirical study of the use of information

technology to support total quality management. Total Quality Management, 12(2),

145--157.

Angeles, R. (2013). Using the Technology-Organisation-Environment Framework and

Zuboff‘s Concepts for Understanding Environmental Sustainability and RFID: Two

Case Studies. International Journal Of Social, Management, Economics And

Business Engineering, 7(10), 1605- 1614.

Angeles, R. (2014). Using the Technology-Organization-Environment Framework for

Analyzing Nike‘s ―Considered Index‖ Green Initiative, a Decision Support System-

Driven System. Journal Of Management And Sustainability, 4(1), 96-113.

Archibald, M. M., & Clark, A. M. (2014). Twitter and nursing research: how diffusion

of innovation theory can help uptake. Journal of advanced nursing,70(3), e3-e5.

Armitage, C., & Conner, M. (2001). Efficacy of the theory of planned behaviour: A

meta-analytic review. British Journal Of Social Psychology, 40(4), 471--499.

Artmann, J., Giest, S., & Dumortier, J. (2010). Country Brief: France. European

Commission, DG Information Society and Media, ICT for Health Unit.

Ashraf, A. R., Thongpapanl, N., & Auh, S. (2014). The Application of the Technology

Acceptance Model Under Different Cultural Contexts: The Case of Online Shopping

Adoption. Journal of International Marketing, 22(3), 68-93.

Aversano, N. (2005). Technology rejection of Mobile Telephones. Unpublished Doctor

of Management Program, Case Western Reserve Universty United States.

Ayres, L., Kavanaugh, K., & Knafl, K. A. (2003). Within-case and across-case

approaches to qualitative data analysis. Qualitative health research, 13(6), 871-883.

Babbie, E. (1992). The practice of social research (1st ed.). Belmont, Calif.: Wadsworth

Pub. Co.

Bagozzi, R. P. (2007). The Legacy of the Technology Acceptance Model and a Proposal

for a Paradigm Shift. Journal of the AIS, 8(4), 244-254.

Page 50: DEVELOPMENT OF IMPLEMENTATION MODELS FOR …eprints.uthm.edu.my/9228/1/Nurul_Izzatty_Ismail.pdf · iv development of implementation models for hospital information system (his) in

268

Bailey, P. H. (2007). Using Narrative in Social Science Research, Qualitative and

Quantitative Approaches. Journal of Advanced Nursing, 58(1), 101-101.

Bakker, A., & Mol, J. (1983). Hospital information systems. Effective Health Care, 1(4),

215--223.

Baraka, H. A., Baraka, H. A., & EL-Gamily, I. H. (2013). Assessing call centers‘

success: A validation of the DeLone and McLean model for information system.

Egyptian Informatics Journal, 14(2), 99-108.

Barber, B., Garwood, D., & Skerman, P. (1995). Security in hospital information

systems. International Journal Of Bio-Medical Computing, 39(1), 133--138.

Barnes-Holmes, D., Regan, D., Barnes-Holmes, Y., Commins, S., Walsh, D., & Stewart,

I. et al. (2005). Relating Derived Realtions as a Model of Anological Reasoning:

Reaction Times and Event-Related Potentials. Journal Of The Experimental Analysis

Of Behavior, 84(3), 435--451.

Barrett, H. (2007). Development as the target of evolution: A computational approach to

developmental systems. The Evolution of Mind: Fundamental Questions and

Controversies (1st ed., pp. 186-192). New York: Guilford.

Barron, W. (2004). Improving the Quality and Safety of Care at Loyola University

Health System. Virtual Mentor, 6(3).

Barros-Bailey, M., & Saunders, J. (2010). Ethics and the Use of Technology in

Rehabilitation Counseling. Rehabilitation Counseling Bulletin, 53(4), 255-259.

doi:10.1177/0034355210368867

Bates, D., Gaw, & e, A. (2003). Improving safety with information technology. New

England Journal Of Medicine, 348(25), 2526--2534.

Bazeley, P. (2007). Qualitative data analysis with NVivo (1st ed.). Los Angeles: SAGE.

Benbasat, I., & Barki, H. (2007). Quo vadis TAM?. Journal of the association for

information systems, 8(4), 211-218.

Berg, B. (2007). Qualitative Research Methods for the Social Sciences (6th ed.). San

Francisco: Pearson Education, Inc.

Page 51: DEVELOPMENT OF IMPLEMENTATION MODELS FOR …eprints.uthm.edu.my/9228/1/Nurul_Izzatty_Ismail.pdf · iv development of implementation models for hospital information system (his) in

269

Bergman, J., & Setterqvist, V. (2013). The Implementation of Reverse Mortgage in

Sweden - A Financial Institution Perspective (Degree project). Umeå Universitet

Sweeden.

Bernama (2009, 24 July). Kerajaan Bayar Pampasan RM7 Juta Untuk Kes Kecuaian

Perubatan. Retrieved March, 12, 2011, at http://www.bernama.com/bernama/

v3/ bm/news_lite.php?id=375694

Bishop, R. O., Patrick, J., & Besiso, A. (2015). Efficiency Achievements From a User-

Developed Real-Time Modifiable Clinical Information System. Annals of emergency

medicine, 65(2), 133-142.

Biomedical Informatics Ltd.,. (2006). Hospital Information System. Retrieved 23 May

2014, from http://www.biohealthmatics.com/ technologies/intsys.aspx

Blaikie, N. (2003). Analyzing Quantitative Data: From Description to Explanation.

California: SAGE Publications Inc.

Blum, B. (1986). Clinical information systems—a review. Western Journal Of Medicine,

145(6), 791.

Bogdan, R., & Biklen, S. (1998). Qualitative research for education (1st ed.). Boston:

Allyn and Bacon.

Boonstra, A., Broekhuis, M., & a,. (2010). Barriers to the acceptance of electronic

medical records by physicians from systematic review to taxonomy and

interventions. BMC Health Services Research, 10(1), 231.

Borst, F., Appel, R., Baud, R., Ligier, Y., & Scherrer, J. (1999). Happy birthday

DIOGENE: a hospital information system born 20 years ago. International Journal

Of Medical Informatics, 54(3), 157-167.

Bossen, C., Jensen, L. G., & Udsen, F. W. (2013). Evaluation of a comprehensive EHR

based on the DeLone and McLean model for IS success: approach, results, and

success factors. International journal of medical informatics,82(10), 940-953.

Brannen, J. (1992). Combining qualitative and quantitative approaches: an overview. In

Julia Brannen (Ed.), Mixing methods: qualitative and quantitative research (pp.3-

37). Brookfield: Avebury.

Page 52: DEVELOPMENT OF IMPLEMENTATION MODELS FOR …eprints.uthm.edu.my/9228/1/Nurul_Izzatty_Ismail.pdf · iv development of implementation models for hospital information system (his) in

270

Breant, C. M., Borst, F., Campi, D., Griesser, V., Huy, S. L., Junod, J. (2000).

Expanding DIOGENE with a clinical information system based on a new hospital-

wide clinical findings dictionary. I. J. Medical Informatics 58,167-177.

Brooks, R., & Grotz, C. (2010). Implementation of electronic medical records: How

healthcare providers are managing the challenges of going digital. Journal of

Business & Economics Research (JBER), 8(6), 73-84.

Brown, S. A., & Venkatesh, V. (2005). Model of adoption of technology in households:

A baseline model test and extension incorporating household life cycle. MIS

quarterly, 399-426.

Brown, J.D. (2008). Effect size and eta squared. Shiken: JALT Testing & Evaluation.

SIG Newsletter. 12 (2), 38 – 43.

Bryman, A. (2004). Social research methods (2nd ed.). New York: Oxford University

Press.

Bulgiba, A. M. (2004). Information technology in health care-what the future holds.

Asia-Pacific Journal of Public Health, 16(1), 64-71.

Buerkle, T., Kuch, R., Prokosch, H., & Dudeck, J. (1999). Stepwise evaluation of

information systems in an university hospital. Methods Of Information In Medicine,

38, 9-15.

Burns, T. E. & Stalker, G. M. (1994). The Management of Innovation. Oxford: Oxford

University Press.

Burt, C.W. and Sisk, J.E. (2005). Which Physicians and Practices are Using Electronic

Medical Records?: Survey Data Show Limited Use of These Information Tools.

Health Affairs. 24(5): p.p 1334-1345.

Cacace, F., Cinque, M., Crudele, M., Iannello, G. &Venditti, M.: (2004). The Impact of

Innovation in Medical and Nursing Training: a Hospital Information System for

Students Accessible through Mobile Devices. Proceedings of MLEARN, 5-6 July

2004, Italy.

Cameron, L, SL Wise, and SM Lottridge. 2007. The Development and Validation of the

Information Literacy Test. College and research libraries 68 (3):229.

Cao, Q., Jones, D. R., & Sheng, H. (2014). Contained nomadic information

environments: Technology, Organisation, and environment influences on adoption of

hospital RFID patient tracking. Information & Management, 51(2), 225-239.

Page 53: DEVELOPMENT OF IMPLEMENTATION MODELS FOR …eprints.uthm.edu.my/9228/1/Nurul_Izzatty_Ismail.pdf · iv development of implementation models for hospital information system (his) in

271

Chang, M.K. (1998). Predicting Unethical Bahavior: A Comparison of The Theory of

Reasoned Action on the Theory of Planned Behavior, Journal of Business Ethics,

17(16), 1828-1834.

Chau, P., & Tam, K. (1997). Factors Affecting the Adoption of Open Systems: An

Exploratory Study. Mis Quarterly, 21(1).

Chismar, W. G., & Wiley-Patton, S. (2003, January). Does the extended technology

acceptance model apply to physicians. In System Sciences, 2003. Proceedings of the

36th Annual Hawaii International Conference on (pp. 8-pp). IEEE.

Chung, K., Choi, Y., & Moon, S. (2003). Toward efficient medication error reduction:

Error-reducing information management systems. Journal Of Medical Systems,

27(6), 553--560.

Chwelos, P., Benbasat, I., & Dexter, A. (2001). Research report: empirical test of an EDI

adoption model. Information Systems Research, 12(3), 304--321.

Clark, L., & Watson, D. (1995). Constructing validity: Basic issues in objective scale

development. Psychological Assessment, 7(3), 309.

Clayton, P., Narus, S., Bowes III, W., Madsen, T., Wilcox, A., & Orsmond, G. et al.

(2005). Physician use of electronic medical records: issues and successes with direct

data entry and physician productivity, 2005, 141.

Cohen, J. (1988). Statistical Power Analysis For The Behavioral Sciences, (2nd edition),

Hillsdale, NJ: Lawrence Erlbaum.

Cohen, L., Manion, L., & Morrison, K. (2007). Research Methods in Education.

London: Routledge/ Falmer.

Cooper, R. B., & Zmud, R. W. (1990). Information technology implementation research:

a technological diffusion approach. Management science, 36(2), 123-139.

Corbellini, A. M., Giest, S., Artmann, J., & Heywood, J. D. (2010). Country Brief:

Spain. European Commission, DG Information Society and Media, ICT for Health

Unit.

Creswell, J. W. (2012). Qualitative inquiry and research design: Choosing among five

approaches. Sage.

Creswell, J. W., & Clark, V. L. P. (2007). Designing and conducting mixed methods

research. Thousand Oaks, Calif.: SAGE Publications.

Page 54: DEVELOPMENT OF IMPLEMENTATION MODELS FOR …eprints.uthm.edu.my/9228/1/Nurul_Izzatty_Ismail.pdf · iv development of implementation models for hospital information system (his) in

272

Creswell, J. (2003). Research design (1st ed.). Thousand Oaks, Calif.: Sage Publications.

Creswell, J. (2009). Research design: Qualitative, quantitative, and mixed methods

approaches (3rd ed.). Thousand Oaks, CA: SAGE Publications.

Cronbach LJ (1951). Coefficient alpha and the internal structure of tests. Psychometrika

16 (3): 297–334.

Damanpour, F. (1996). Organisational complexity and innovation: developing and

testing multiple contingency models. Management science, 42(5), 693-716.

Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1992). Extrinsic and intrinsic

motivation to use computers in the workplace1. Journal of applied social

psychology, 22(14), 1111-1132.

Davis, F. D., Bagozzi, R. P., Warshaw , P. R. (1989). User acceptance of computer

technology: a comparison of two theoretical models, Management Science, 35(8),

982-1003.

Davis, F. D. (1989). Perceived Usefulness, Perceived Ease of Use, and End User

Acceptance of In-formation Technology, MIS Quarterly, 13, 318-339.

Delbert, H., & Meyer, D. (2011). Electronic Medical Records-A Perspective: How Long

Does It Take to Read a 243-page EMR?. Journal Of American Physicians And

Surgeons, 15(3), 78-79.

DeLone, W., & McLean, E. (1992). Information systems success: the quest for the

dependent variable. Information Systems Research, 3(1), 60-95.

Delone, W. H., & Mclean, E. R. (2004). Measuring e-commerce success: Applying the

DeLone & McLean information systems success model. International Journal of

Electronic Commerce, 9(1), 31-47.

Delone, W. H., & McLean, E. R. (2003). The DeLone and McLean model of

information systems success: a ten-year update. Journal of management information

systems, 19(4), 9-30.

Department of Statistics Malaysia (2015). Malaysia Population Clock. Retrieved March,

7, 2015, at http://www.statistics.gov.my/portal/index.php?option=com_content&

view=article&id=213&lang=en.

Page 55: DEVELOPMENT OF IMPLEMENTATION MODELS FOR …eprints.uthm.edu.my/9228/1/Nurul_Izzatty_Ismail.pdf · iv development of implementation models for hospital information system (his) in

273

Denzin, N., & Lincoln, Y. (2000). Handbook of qualitative research (1st ed.). Thousand

Oaks, Calif.: Sage Publications.

Detmer, D. E. (2000). Information technology for quality health care: a summary of

United Kingdom and United States experiences. Quality in Health Care, 9(3), 181-

189.

Donati, A., Gabbanelli, V., Pantanetti, S., Carletti, P., Principi, T., & Marini, B. et al.

(2008). The impact of a clinical information system in an intensive care unit. Journal

Of Clinical Monitoring And Computing, 22(1), 31-36.

Dong, Y. & Peng, C.J. (2013). Principled missing data methods for researchers.

Springerplus, 2, 222.

Easterby-Smith, M., & Antonacopoulou, E. (2006). Organisational learning, knowledge

and dynamic capabilities. Oxford University Press.

Edmunds, R., Thorpe, M., & Conole, G. (2012). Student attitudes towards and use of

ICT in course study, work and social activity: A technology acceptance model

approach. British journal of educational technology, 43(1), 71-84.

Enders C.K. (2003). Using the expectation maximization algorithm to estimate

coefficient alpha for scales with item-level missing data. Psychol Methods, 8(3),

322-37.

Erstad, T.L. (2003). Analyzing Computer Based PatientRecords: A Review of

Literature. Journal of Healthcare Information Management, 17(4): p.p 51- 57.

Fadhil, N., Jusop, M., & Abdullah, A. (2012). Hospital Information System (HIS) in a

Public Hospitals: A case study from Malaysia. Far East Journal Of Psychology &

Business, 8(3), 1-11.

Fang, M., Zhang, Y., Zhao, H., Wu, N., & Yu, J. (2007). Integration of hospital

information systems in china. New Mathematics And Natural Computation, 3(01),

135-151.

Fasshauer, K. (2012). Chinese Direct Investment in Europe (Masters Thesis).

Copenhagen Business School.

Fielding, N., & Fielding, J. (2014). Linking data: The articulation of qualitative and

quantitative methods in social research (1st ed.). Beverly Hill, CA: Sage.

Page 56: DEVELOPMENT OF IMPLEMENTATION MODELS FOR …eprints.uthm.edu.my/9228/1/Nurul_Izzatty_Ismail.pdf · iv development of implementation models for hospital information system (his) in

274

Fishbein, M., & Ajzen, I. (1975). Belief, Attitude, Intention, and Behavior: An

Introduction to Theory and Research. Reading, MA: Addison-Wesley

Fiumara, K. (2008). Chapter 7: Case Study on the Use of Health Care Technology to

Improve Medication Safety,? Medication Use: A Systems Approach to Reducing

Errors (1st ed., pp. 103-114). USA: Joint Commission resources.

Flick, U. (2009). An Introduction to Qualitative Research (3rd ed.). London: Sage

Publication.

Fraser, H., Biondich, P., Moodley, D., Choi, S., Mamlin, B., & Szolovits, P. (2005).

Implementing electronic medical record systems in developing countries.

Informatics In Primary Care, 13(2), 83--96.

Frisse, M. E., Johnson, K. B., Nian, H., Davison, C. L., Gadd, C. S., Unertl, K. M. & Chen, Q.

(2012). The financial impact of health information exchange on emergency department care.

Journal of the American Medical Informatics Association, 19(3), 328-333.

Gahtani, S.S., Hubona, G.S., & Wang, J.(2007). Information technology (IT) in Saudi

Arabia: Culture and the acceptance and use of IT. Information & Management, 44,

681-691.

Ganesh, A., & Al-Mujaini, A. (2009). Electronic Medical Record System: Have we

Bitten off More Than we Can Chew?. Oman Medical Journal, 24(1), 1.

Gardner, R.M. and Lundsgaarde, H.P. (1994). Evaluation of User Acceptance of a

Clinical Expert System, JAMIA, 1, 428-438

Garrido, T., Raymond, B., Jamieson, L., Liang, L., & Wiesenthal, A. (2004). Making the

business case for hospital information systems—a Kaiser Permanente investment

decision. Journal Of Health Care Finance, 31(2), 16-25.

Garson, D. (2012). Testing statistical assumptions (1st ed.). South Carolina State

University: G. David Garson and Statistical Associates Publishing.

George, D., & Mallery, P. (2003). SPSS for Windows step by step (1st ed.). Boston:

Allyn and Bacon.

Gill, P., Stewart, K., Treasure, E., & Chadwick, B. (2008). Methods of data collection in

qualitative research: interviews and focus groups. British Dental Journal, 204(6),

291--295.

Page 57: DEVELOPMENT OF IMPLEMENTATION MODELS FOR …eprints.uthm.edu.my/9228/1/Nurul_Izzatty_Ismail.pdf · iv development of implementation models for hospital information system (his) in

275

Glaser, J., Drazen, E., & Cohen, L. (1986). Maximizing the benefits of health care

information systems. Journal Of Medical Systems, 10(1), 51-56.

Goldberg, A. (1988). A History of Personal Workstations. Addison-Wesley

Publishing Co. Massachusetts.

Goldkuhl, G. (1998, June). The six phases of business processes-business

communication and the exchange of value. In 12th biennial ITS conference. Beyond

convergence (ITS 98), Stockholm.

Goo, J., Huang, C. D., & Koo, C. (2015). Learning for healthy outcomes: Exploration

and exploitation with electronic medical records. Information & Management, 52,

550–562.

Gopi, M. & Ramayah, T. (2007). Applicability of Theory of Planned Behavior in

Predicting Intention to Trade Online: Some Evidence from a Developing Country.

International Journal of Emerging Markets, 2(4), pp. 348-360.

Greene, J., Caracelli, V., & Graham, W. (1989). Toward a Conceptual Framework for

Mixed-Method Evaluation Designs. Educational Evaluation And Policy Analysis,

11(3), 255. doi:10.2307/1163620

Guba, E. G., & Lincoln, Y. S. (1994). Competing paradigms in qualitative research.

Handbook of qualitative research, 2, 163-194.

Gummesson, E. (2000). Qualitative methods in management research (1st ed.).

Thousand Oaks, Calif.: Sage.

Gürsel, G., Zayim, N., Gülkesen, K. H., Arifoglu, A., & Osman, S. A. K. A. (2014). A

new approach in the evaluation of hospital information systems. Turkish Journal of

Electrical Engineering& Computer Sciences2014, 22, 214-222.

Hair, J.F., Black, W.C., Babin, B.J., Anderson, R.E. & Tatham, R.L. (2006).

Multivariate data analysis (6th ed.), Upper Saddle River: Pearson/Prentice-Hall.

Hashem, D. (2014). Understanding change in disability sport in the UAE (Doctoral

dissertation). Brunel University.

Haskins, M. (2002). Legible charts!Experiences in converting to electronic medical

records. Canadian Family Physician, vol. 48: p.p 769-771

Page 58: DEVELOPMENT OF IMPLEMENTATION MODELS FOR …eprints.uthm.edu.my/9228/1/Nurul_Izzatty_Ismail.pdf · iv development of implementation models for hospital information system (his) in

276

Hayani, P., Rahman, M., & Hidayanto, A. (2013). Information Technology Assessment

on Hospital Information System Implementation: Case Study A Teaching Hospital.

International Journal Of Engineering & Technology (0975-4024), 5(2).

Hammar, T., Ohlson, M., Hanson, E., & Petersson, G. (2015). Implementation of

information systems at pharmacies–A case study from the re-regulated pharmacy

market in Sweden. Research in Social and Administrative Pharmacy,11(2), e85-e99.

Hammersley, M. (2009). Why critical realism fails to justify critical social research.

Methodological Innovations Online, 4(2), 1--11.

Hassan, R. (2012). Implementation of Total Hospital Information System (THIS) In

Malaysian Public Hospitals: Challenges and Future Prospects. International Journal

Of Business And Social Research, 2(2), 33-41.

Hatcher, L. (2013). Advanced statistics in research (1st ed.). Saginaw, MI: ShadowFinch

Media, LLC.

Hennink, M., Hutter, I., & Bailey, A. (2011). Qualitative research methods (1st ed.).

London: SAGE.

Hidayanto, A., Hartana, D., Hapsari, I., & ra,. (2012). Stategi Manajemen Perubahan

Untuk Mendukung Implementasi Sistem Informasi Rumah Sakit Studi Kasus: RSUD

RAA Soewondo Pati. Jurnal Sistem Informasi, 6(2), 108-116.

Hillestad, R., Bigelow, J., Bower, A., Girosi, F., Meili, R., Scoville, R., & Taylor, R.

(2005). Can electronic medical record systems transform health care? Potential

health benefits, savings, and costs. Health Affairs, 24(5), 1103--1117.

Ho, R. (2006). Handbook of univariate and multivariate data analysis and interpretation

with SPSS (1st ed.). Boca Raton: Chapman & Hall/CRC.

Houser, M., Barlow, J., Tedeschi, R., Spicer, M., Shields, D., & Diamond, L. (1984).

The Implementation of Hospital Information Systems—Change, Challenge, and

Commitment, 221.

Hsiao, C. J., & Hing, E. (2012). Use and Characteristics of Electronic Health Record

Systems Among Office-based Physician Practices, United States, 2001-2012 (pp. 1-

8). US Department of Health and Human Services, Centers for Disease Control and

Prevention, National Center for Health Statistics.

Page 59: DEVELOPMENT OF IMPLEMENTATION MODELS FOR …eprints.uthm.edu.my/9228/1/Nurul_Izzatty_Ismail.pdf · iv development of implementation models for hospital information system (his) in

277

Hung, S. Y., Hung, W. H., Tsai, C. A., & Jiang, S. C. (2010). Critical factors of hospital

adoption on CRM system: Organisational and information system perspectives. Decision

support systems, 48(4), 592-603.

Hunsinger, J. (2005). Toward a transdisciplinary internet research. The Information

Society, 21(4), 277-279.

Hu, P. J., Chau, P. Y., Sheng, O. R. L., & Tam, K. Y. (1999). Examining the technology

acceptance model using physician acceptance of telemedicine technology. Journal of

management information systems, 91-112.

Ibrahim, S. (2007). Clinical Leadership in Implementation of THIS in a Hospital

HIMSS. In AsiaPac07 Conference & Exhibition (pp. 1-19).

Ifinedo, P. (2012). Factors influencing e-government maturity in transition economies

and developing countries: a longitudinal perspective. ACM SIGMIS Database, 42(4),

98-116.

Ingram, K. L., Cope, J. G., Harju, B. L., & Wuensch, K. L. (2000). Applying to graduate

school: A test of the theory of planned behavior. Journal of Social Behavior &

Personality, 15, 215-226.

Innan, R., & Moustaghfir, K. (2012). Predicting Employees‘ Behavior: An Application

of the Theory of Planned Behavior; The Case of the Moroccan Forestry Department

(HCEFLCD). In Knowledge and Learning: Global Empowerment; Proceedings of

the Management, Knowledge and Learning International Conference 2012 (pp. 333-

348). International School for Social and Business Studies, Celje, Slovenia.

Inokuchi, R., Sato, H., Nakamura, K., Aoki, Y., Shinohara, K., Gunshin, M., ... &

Nakajima, S. (2014). Motivations and barriers to implementing electronic health

records and ED information systems in Japan. The American journal of emergency

medicine, 32(7), 725-730.

Ismail A., Jamil, A.T., A Rahman, A.F., Abu Bakar, J.M., Mohd Saad, N. & Saadi, H.

(2010). The Implementation of Hospital of Hospital System (HIS) in Tertiary

Hospitals in Malaysia: A Qualitative Study, Malaysian Journal of Public Health

Medicine 2010, vol. 10, no. 2, pp. 16-24, 2010.

Ismail, N. I., Abdullah, N. H., Shamsudin, A., & Ariffin, N. A. N. (2013).

Implementation differences of hospital information system (HIS) in Malaysian

public hospitals. International Journal of Social Science and Huminity, 3(2), 115-

120.

Page 60: DEVELOPMENT OF IMPLEMENTATION MODELS FOR …eprints.uthm.edu.my/9228/1/Nurul_Izzatty_Ismail.pdf · iv development of implementation models for hospital information system (his) in

278

Ismail, N. I., Abdullah, N. H., & Shamsuddin, A. (2015). Adoption of Hospital

Information System (HIS) in Malaysian Public Hospitals. Procedia-Social and

Behavioral Sciences, 172, 336-343.

Ismail, W., & Ali, A. (2013). Conceptual Model for Examining the Factors that

Influence the Likelihood of Computerised Accounting Information System (CAIS)

Adoption Among Malaysian SME. International Journal of Information Technology

and Business Management, 15(1), 122-151.

Jha, A. K., Doolan, D., Grandt, D., Scott, T., & Bates, D. W. (2008). The use of health

information technology in seven nations. International journal of medical

informatics, 77(12), 848-854.

Jhun, H., Cho, S., & Park, J. (2004). Changes in job stress, musculoskeletal symptoms,

and complaints of unfavorable working conditions among nurses after the adoption

of a computerized order communication system. International Archives Of

Occupational And Environmental Health, 77(5), 363--367.

Johnson, B., & Christensen, L. (2008). Educational research (1st ed.). Los Angeles:

Sage Publications.

Johnson, R., & Onwuegbuzie, A. (2004). Mixed methods research: A research paradigm

whose time has come. Educational Researcher, 33(7), 14--26.

Johnson, R., Onwuegbuzie, A., & Turner, L. (2007). Toward a definition of mixed

methods research. Journal Of Mixed Methods Research, 1(2), 112--133.

Kagioglou, M., Cooper, R., Aouad, G., & Sexton, M. (2000). Rethinking construction:

the generic design and construction process protocol. Engineering Construction And

Architectural Management, 7(2), 141--153.

Kahouei, M., Zadeh, J. M., & Roghani, P. S. (2015). The evaluation of the compatibility

of electronic patient record (EPR) system with nurses‘ management needs in a

developing country. International journal of medical informatics, 84(4), 263-270.

Karahana, E. & Straub, D.W (1999). The Psychological origins of Perceieved

Usefulness and Ease of Use, Information & Management, 35, 237-250.

Kamau, L. M. (2014). Applying Rogers‘ Diffusion of Innovations Theory to Investigate

Technology Training for Secondary Mathematics Teachers in Kenya. Journal of

Education and Practice, 5(17), 19-30.

Page 61: DEVELOPMENT OF IMPLEMENTATION MODELS FOR …eprints.uthm.edu.my/9228/1/Nurul_Izzatty_Ismail.pdf · iv development of implementation models for hospital information system (his) in

279

Karimi, F., Poo, D. C., & Tan, Y. M. (2015). Clinical information systems end user

satisfaction: The expectations and needs congruencies effects. Journal of biomedical

informatics, 53, 342-354.

Kasi, P. (2009). Research (1st ed.). Bloomington, IN: AuthorHouse.

Kaushal, R., Bates, D., Jenter, C., Mills, S., Volk, L., & Burdick, E. et al. (2009).

Imminent adopters of electronic health records in ambulatory care. Informatics In

Primary Care, 17(1).

Khan, A., & Woosley, J. M. (2011). Comparison of Contemporary Technology

Acceptance Models and Evaluation of the Best Fit for Health Industry Organisations.

The International Journal of Computer Science & Emerging Technologies, 1(11),

709-717.

Khan, S., & VanWynsberghe, R. (2008). Cultivating the Under-Mined: Cross-Case

Analysis as Knowledge Mobilization., 9(1).

Khorasani, R. (2001). Computerized Physician Order Entry and Decision Support:

Improving the Quality of Care. ? Radio Graphics The Journal Of Continuing

Medical Education In Radiology, 21, 1015-1018.

King, N., & Horrocks, C. (2010). Interviews in qualitative research (1st ed.). Los

Angeles: SAGE.

Knox, K. (2004). A researcher‘s dilemma-philosophical and methodological pluralism.

Electronic journal of business research methods, 2(2), 119-128.

Kohlbacher, Florian (2005). The Use of Qualitative Content Analysis in Case Study

Research Forum Qualitative Sozialforschung / Forum: Qualitative Social Research,

7(1), 21.

Kok, G., de Vries, H., Mudde, A., & Strecher, V. (1991). Planned health education and

the role of self-efficacy: Dutch research. Health Education Research, 6(2), 231--238.

Krippendorff, Klaus (2004).Content analysis: An introduction to its methodology (2nd

ed.). Thousand Oaks: Sage.

Kuan, K.K.Y. and Chau, P.Y.K. (2001). A Perception-Based Model for EDI Adoption in

Small Business Using a Technology-Organisation-Environment Framework.

Information & Management 38(8), 507-512.

Page 62: DEVELOPMENT OF IMPLEMENTATION MODELS FOR …eprints.uthm.edu.my/9228/1/Nurul_Izzatty_Ismail.pdf · iv development of implementation models for hospital information system (his) in

280

Kuperman, G. J., Gardner, R. M., & Pryor, T. A. (2013). HELP: a dynamic hospital information

system. Springer Science & Business Media.

Kuhn, K., Giuse, D., & others,. (2001). From hospital information systems to health

information systems. Problems, challenges, perspectives. Methods Inf Med, 40(4),

275--87.

Kumar, S., Krupinski, E. & Abdullah, B.J.J. (2008). Impact of Teleradiology in Clinical

Practice: A Malaysian Perspective. In Teleradiology (pp. 203-215). Springer Berlin

Heidelberg.

Kushniruk, A., Borycki, E., & Kuo, M. H. (2010). Advances in electronic health records

in Denmark: From national strategy to effective healthcare system implementation.

Acta Informatica Medica, 18(2), 96.

Kushniruk, A., Kaipio, J., Nieminen, M., Hyppönen, H., Lääveri, T., Nohr, C. &

Borycki, E. (2014). Human Factors in the Large: Experiences from Denmark,

Finland and Canada in Moving Towards Regional and National Evaluations of

Health Information System Usability: Contribution of the IMIA Human Factors

Working Group. Yearbook of medical informatics, 9(1), 67.

Kvale, S., & Brinkmann, S. (2009). InterViews (1st ed.). Los Angeles: Sage

Publications.

Kvale, S. (1996). Interviews (1st ed.). Thousand Oaks, Calif.: Sage Publications.

Kwon, T. H., and Zmud, R. W. (1987). Unifying the Fragmented Models of Information

Systems Implementation. In R. J. Boland and R. A. Hirschheim (eds.), Critical

Issues in Information Systems Research, Chichester: John Wiley and Sons, 88-97.

Law, P. K. (2010). A theory of reasoned action model of accounting students' career

choice in public accounting practices in the post-Enron. Journal of Applied

Accounting Research, 11(1), 58-73.

Lawshe, C.H. (1975). A quantitative approach to content validity. Personnel

Psychology, 28, 563–575.

Le, X., Lee, S., Lee, Y., Lee, H., Khalid, M., & Sankar, R. (2010). Activity-oriented

access control to ubiquitous hospital information and services. Information Sciences,

180(16), 2979--2990.

Lee, H. W., Ramayah, T., & Zakaria, N. (2012). External factors in hospital information

system (HIS) adoption model: a case on malaysia. Journal of medical systems, 36(4),

2129-2140.

Page 63: DEVELOPMENT OF IMPLEMENTATION MODELS FOR …eprints.uthm.edu.my/9228/1/Nurul_Izzatty_Ismail.pdf · iv development of implementation models for hospital information system (his) in

281

Lee, J. (2009). Interview with Lawrence Weed, MD—The Father of the Problem-

Oriented Medical Record Looks Ahead. The Permanente Journal 13 (3):84–89.

Lee, J. (1994). Odds Ratio or Relative Risk for Cross-Sectional Data?. International

Journal of Epidemiology 23 (1): 201–3.

Leidner, D. E., Preston, D., & Chen, D. (2010). An examination of the antecedents and

consequences of Organisational IT innovation in hospitals. The Journal of Strategic

Information Systems, 19(3), 154-170.

Levine and Pauls. (1998). Theory Of Reasoned Action/Theory Of Planned Behavior.

Retrieved from http://hsc.usf.edu/~kmbrown/TRA_TPB.htm

Levine, T., & Hullett, C. (2002). Eta squared, partial eta squared, and misreporting of

effect size in communication research. Human Communication Research, 28(4),

612--625.

Levine, T., & Hullett, C. (2002). Eta squared, partial eta squared, and misreporting of

effect size in communication research. Human Communication Research, 28(4),

612--625.

Lian, J. W., Yen, D. C., & Wang, Y. T. (2014). An exploratory study to understand the

critical factors affecting the decision to adopt cloud computing in Taiwan hospital.

International Journal of Information Management, 34(1), 28-36

Li, J. (2010). Bulding a healthy Malaysia. FutureGov. Retrieved 10 July 2015, from

http://futuregov.asia/articles/2010/jan/07/building-healthy-malaysia/

Li, Y. C. J., Yen, J. C., Chiu, W. T., Jian, W. S., Syed-Abdul, S., & Hsu, M. H. (2015).

Building a National Electronic Medical Record Exchange System–Experiences in

Taiwan. Computer methods and programs in biomedicine, 121(1), 14-20.

Lincoln, Y., & Guba, E. (1985). Naturalistic inquiry (1st ed.). Beverly Hills, Calif.: Sage

Publications.

Liu, C. T., Yang, P. T., Yeh, Y. T., & Wang, B. L. (2006). The impacts of smart cards

on hospital information systems—An investigation of the first phase of the national

health insurance smart card project in Taiwan. International Journal of Medical

Informatics, 75(2), 173-181.

Page 64: DEVELOPMENT OF IMPLEMENTATION MODELS FOR …eprints.uthm.edu.my/9228/1/Nurul_Izzatty_Ismail.pdf · iv development of implementation models for hospital information system (his) in

282

Liu, L., Miguel Cruz, A., Rios Rincon, A., Buttar, V., Ranson, Q., & Goertzen, D.

(2014). What factors determine therapists' acceptance of new technologies for

rehabilitation-a study using the Unified Theory of Acceptance and Use of

Technology (UTAUT). Disability & Rehabilitation, 37(5), 447-455.

Li, Y. C. J., Yen, J. C., Chiu, W. T., Jian, W. S., Syed-Abdul, S., & Hsu, M. H. (2015).

Building a National Electronic Medical Record Exchange System–Experiences in

Taiwan. Computer methods and programs in biomedicine, 121, 12-20.

Lorence, D., Sivaramakrishnan, A. and Richards, M. (2009, 20 March). Transaction-

Neutral Implanted Data Collection Interface as EMR Driver: A Model for Emerging

Distributed Medical Technologies. Journal of Medical Systems, 34(4), 609-617.

DOI: 10.1007/s10916-009-9274-9

Lucas, H., & Spitler, V. (1999). Technology Use and Performance: A Field Study of

Broker Workstations. Decision Sciences, 30(2), 291-311.

Ludwick, D.A. & Doucette, J. (2007). Case Study: The Effect of Information and

Computing Technology on Health Care: The Implications of Operational Processes.

Presented at the itSMF Canadian National Conference, Calgary, AB, Canada.

Ludwick, D.A. & Doucette, J. (2008). Primary Care Physicians' Experience with

Electronic Medical Records: Barriers to Implementation in a Fee-For-Service

Environment, International Journal of Telemedicine and Applications,:853524.

Epub 2008 Dec 4.

Ludwick D.A. & Doucette, J. (2009). Adopting electronic medical records in primary

care: lessons learned from health information systems implementation experience in

seven countries. Int J Med Inform., 78(1):22-31.

Luethi, M., & Knolmayer, G. (2009). Security in health information systems: an

exploratory comparison of US and swiss hospitals, 1-10.

Lumsdon K. (1993). HELP (health evaluation through logical processing) on the way.

Clinical system lays framework for CPR. PubMed, 67(4), 32.

Manstead, A., & Parker, D. (1995). Evaluating and extending the theory of planned

behaviour. European Review Of Social Psychology, 6(1), 69-95.

Marshall, C., & Rossman, G. (2011). Designing qualitative research (1st ed.). Los

Angeles: Sage.

Page 65: DEVELOPMENT OF IMPLEMENTATION MODELS FOR …eprints.uthm.edu.my/9228/1/Nurul_Izzatty_Ismail.pdf · iv development of implementation models for hospital information system (his) in

283

Martins, C., Oliveira, T., & Popovič, A. (2014). Understanding the Internet banking

adoption: A unified theory of acceptance and use of technology and perceived risk

application. International Journal of Information Management, 34(1), 1-13.

Mathieson, K. (1991). Predicting user intentions: comparing the technology acceptance

model with the theory of planned behavior. Information Systems Research, 2(3),

173-191.

Matković, P., & Tumbas, P. (2010). A Comparative Overview of the Evolution of

Software Development Models. International Journal of Industrial Engineering and

Management (IJIEM), 1(4), 163-172.

Matveev, A. V. (2002). The advantages of employing quantitative and qualitative

methods in intercultural research: Practical implications from the study of the

perceptions of intercultural communication competence by American and Russian

managers. Bulletin of Russian Communication Association Theory of

Communication and Applied Communication, 1, 59-67.

Mbananga, N., & Becker, P. (2002). Use of technology in reproductive health

information designed for communities in South Africa. Health Education Research,

17(2), 195--209.

McGill, T. J., Klobas, J. E., & Hobbs, V. J. (2004). Perceptions, user satisfaction and

success: Testing the DeLone and McLean model in the user developed application

domain. Advanced Topics in Information Resources Management, 3, 87-116.

Menachemi, N. & Collum, T.H. (2011) Benefits and drawbacks of electronic health

record systems. Risk Manag Healthc Policy, 4:47–55

Kelly, G., & McKenzie, B. (2002). Security, privacy, and confidentiality issues on the

Internet. Journal of Medical Internet Research, 4(2), e12.

Meinert, D., & Peterson, D. (2009). Perceived importance of EMR functions and

physician characteristics. Journal Of Systems And Information Technology, 11(1),

57--70.

Menke, J., Broner, C., Campbell, D., McKissick, M., & Edwards-Beckett, J. (2001).

Computerized clinical documentation system in the pediatric intensive care unit.

BMC Medical Informatics And Decision Making, 1(1), 3.

Merriam, S. (1998). Qualitative research and case study applications in education (1st

ed.). San Francisco: Jossey-bass.

Page 66: DEVELOPMENT OF IMPLEMENTATION MODELS FOR …eprints.uthm.edu.my/9228/1/Nurul_Izzatty_Ismail.pdf · iv development of implementation models for hospital information system (his) in

284

Merriam, S. (2001). Andragogy and self-directed learning: Pillars of adult learning

theory. New Directions For Adult And Continuing Education, 2001(89), 3--14.

Merriam, S. (2001). The new update on adult learning theory (1st ed.). San Francisco:

Jossey-Bass.

Merriam, S. (2009). Qualitative Research: A Guide to Design and Implementation.

United States of America: Jossey-Bass.

Meyer, A. D., & Goes, J. B. (1988). Organisational assimilation of innovations: A

multilevel contextual analysis. Academy of management journal, 31(4), 897-923.

Miles, M. B., & Huberman, A. M. (1994). Qualitative data analysis: An expanded

sourcebook. Sage.

Miller, R., & Sim, I. (2004). Physicians‘ use of electronic medical records: barriers and

solutions. Health Affairs, 23(2), 116-126.

Mills, T. R., Vavroch, J., Bahensky, J. A., & Ward, M. M. (2010). Electronic medical

record systems in critical access hospitals: leadership perspectives on anticipated and

realized benefits. Perspectives in health information management/AHIMA, American

Health Information Management Association,7(Spring).

Ministry of Health Malaysia (2012). Annual Report 2012. Putrajaya, Malaysia: MOH

Ministry of Health Malaysia (2011). Country Plan. Putrajaya, Malaysia: MOH.

Ministry of Health Malaysia (2014). Health Indicators. Putrajaya, Malaysia: MOH.

Ministry of Health Malaysia (2015). Health Indicators. Putrajaya, Malaysia: MOH.

Mohamadali, N. A. K., & Garibaldi, J. M. (2010). A Novel Evaluation Model of user

Acceptance of Software Technology in Healthcare Sector. In Healthinf (pp. 392-

397).

Mohamad Yunus, N., Ab Latiff, D., Abdul Mulud, Z., & Ma‘on, S. (2013). Acceptance

of Total Hospital Information System (THIS). International Journal Of Future

Computer And Communication, 2(3), 160-163.

Page 67: DEVELOPMENT OF IMPLEMENTATION MODELS FOR …eprints.uthm.edu.my/9228/1/Nurul_Izzatty_Ismail.pdf · iv development of implementation models for hospital information system (his) in

285

Mohammad Chuttur, Y. (2009). Overview of the technology acceptance model: Origins,

developments and future directions. Working Papers on Information Systems, 9(37),

9-37.

Mohan, J., & Yaacob, R. R. R. (2004). The Malaysian Telehealth Flagship Application:

a national approach to health data protection and utilisation and consumer rights.

International Journal of Medical Informatics, 73(3), 217-227.

Mohd Amin, I., Hussein, S., & Wan Mohd Isa, W. (2011). Assessing User Satisfaction

of using Hospital Information System (HIS) in Malaysia. In International

Conference on Social Science and Humanity (pp. 201-2013). Singapore.

Mohd., H., & Syed Mohamad, S. (2005). Acceptance model of electronic medical

record. Journal Of Advancing Information And Management Studies, 2(1), 75--92.

Mohd Razali, N. & Yap, W. B. (2011). Power comparisons of shapiro-wilk,

kolmogorov-smirnov, lilliefors and anderson-darling tests. Journal of Statistical

Modeling and Analytics, 2(1), 21-33.

Mohd. Yusof, M. (2015). A case study evaluation of a Critical Care Information System

adoption using the socio-technical and fit approach. International journal of medical

informatics, 84(7), 486-499.

Mohd. Yusof, M., Kuljis, J., Papazafeiropoulou, A., & Stergioulas, L. (2008). An

evaluation framework for Health Information Systems: human, Organisation and

technology-fit factors (HOT-fit). International Journal Of Medical Informatics,

77(6), 386--398.

Mohd. Yusof, M., Papazafeiropoulou, A., Paul, R., & Stergioulas, L. (2008).

Investigating evaluation frameworks for health information systems. International

Journal Of Medical Informatics, 77(6), 377-385.

Moore, G., & Benbasat, I. (1991). Development of an instrument to measure the

perceptions of adopting an information technology innovation. Information Systems

Research, 2(3), 192--222.

Mullan, B., & Westwood, J. (2010). The application of the theory of reasoned action to

school nurses‘ behaviour. Journal of Research in Nursing, 15(3), 261-271.

Myers, M., & Newman, M. (2007). The qualitative interview in IS research: Examining

the craft. Information And Organisation, 17(1), 2--26.

Page 68: DEVELOPMENT OF IMPLEMENTATION MODELS FOR …eprints.uthm.edu.my/9228/1/Nurul_Izzatty_Ismail.pdf · iv development of implementation models for hospital information system (his) in

286

Mykytyn Jr, P., & Harrison, D. (1993). The application of the theory of reasoned action

to senior management and strategic information systems. Information Resources

Management Journal (IRMJ), 6(2), 15--26.

Nagi, A. (2014). How the relationship of technology has changed work & home life; & if

this has increased or decreased stress as a consequence? (Bachelor Degree).

University of Derby.

National Economic Advisory Council (2010). New Economic Model for Malaysia: Part

1. Retrieved from http://www.mampu.gov.my/documents/10228/25989/27-07-04-

2010-economicmodel_malaysia.pdf/8834e445-db30-4822-9e37-8548499e361c.

Newman, I. & Benz, C.R. (1998). Qualitative-Quantitative Research Methodology:

Exploring the Interactive Continuum. Southern Illinois University Press.

Neuman, L. (2013). Basics of Social Research: Pearson New International Edition (1st

ed.). Harlow: Pearson.

Neuman, W. (1997). Social research methods (1st ed.). Boston: Allyn and Bacon.

Nguyen, L., Bellucci, E., & Nguyen, L. T. (2014). Electronic health records

implementation: an evaluation of information system impact and contingency

factors. International journal of medical informatics, 83(11), 779-796.

Nguyen, T., Vu, H., Webster, J., & Nimunkar, A. (2011). A Web-Based Electronic

Medical Records and Hospital Information System for Developing Countries.

Journal Of Health Informatics In Developing Countries, 5(1).

Nik Ariffin, N. A., & Mohamed, C. A. R. (2010). Natural radium isotopes in particulate

and dissolved phases of seawater and rainwater at the west coast Peninsular

Malaysia caused by coal-fired power plant. Environment Asia, 3(2), 97-108.

Norman, P., & Smith, L. (1995). The theory of planned behaviour and exercise: An

investigation into the role of prior behaviour, behavioural intentions and attitude

variability. European Journal Of Social Psychology, 25(4), 403-415.

Orr M.G., Thrush R., Plaut D.C. (2013). The Theory of Reasoned Action as parallel

constraint satisfaction: towards a dynamic computational model of health behavior.

PloS One. 2013;8(5):e62409.

Page 69: DEVELOPMENT OF IMPLEMENTATION MODELS FOR …eprints.uthm.edu.my/9228/1/Nurul_Izzatty_Ismail.pdf · iv development of implementation models for hospital information system (his) in

287

Orruño, E., Gagnon, M. P., Asua, J., & Abdeljelil, A. B. (2011). Evaluation of

teledermatology adoption by health-care professionals using a modified Technology

Acceptance Model. Journal of telemedicine and telecare,17(6), 303-307.

Otieno, G. O., Hinako, T., Motohiro, A., Daisuke, K., & Keiko, N. (2008). Measuring

effectiveness of electronic medical records systems: towards building a composite

index for benchmarking hospitals. International journal of medical informatics,

77(10), 657-669.

Owuor, C. (2001). Implications of using Likert data in multiple regression

analysis (Doctor of Philosophy). University of British Columbia.

Park, D., Jung, E., Jeong, B., Moon, B., Kang, H., & Tchah, H. et al. (2012). Smart

Information System for Gachon University Gil Hospital. Healthcare Informatics

Research, 18(1), 74-83.

Park, E., Baek, S., Ohm, J., & Chang, H. J. (2014). Determinants of player acceptance of

mobile social network games: An application of extended technology acceptance

model. Telematics and Informatics, 31(1), 3-15.

Park, H. M. (2003). Comparing Group Means: T-tests and One-way ANOVA Using

Stata, SAS, R, and SPSS: Working Paper. The University Information Technology

Services (UITS) Center for Statistical and Mathematical Computing: Indiana

University.

Patton, M. (1990). Qualitative evaluation and research methods (1st ed.). Newbury

Park, Calif.: Sage Publications.

Pearce, C., & Bainbridge, M. (2014). A personally controlled electronic health record

for Australia. Journal of the American Medical Informatics Association, 21(4), 707-

713.

Pennington, D. (2003). Essential Personality. Edward Arnold Publishers Ltd. p. 37.

Peterson, K. (2006). Practice-based primary care research—translating research into

practice through advanced technology. Family Practice, 23(2), 149--150.

Petter, S. & Gallivan, M. (2004). Toward a framework for classifying and guiding mixed

method research in information systems, 10.

Page 70: DEVELOPMENT OF IMPLEMENTATION MODELS FOR …eprints.uthm.edu.my/9228/1/Nurul_Izzatty_Ismail.pdf · iv development of implementation models for hospital information system (his) in

288

Petter, S., DeLone, W., & McLean, E. (2008). Measuring information systems success:

models, dimensions, measures, and interrelationships. European journal of

information systems, 17(3), 236-263.

Pillay, M.S., Mohd Ghazali, R.J., Abd Manaf, N.H., Abdullah, H.A., Abu Bakar, A.,

Salikin, F., Umapathy, M., Ali, R., Bidin, N., & Wan Ismail, W.I. (2011). Hospital

waiting time: the forgotten premise of healthcare service delivery?. International

journal of health care quality assurance, 24(7), 506-522.

Pitt L.F., Watson R.T. & Kavan C.B. (1995) Service quality: a measure of information

systems effectiveness. MIS Quarterly 19(2), 173–187.

Plsek, P. E., & Greenhalgh, T. (2001). Complexity science: The challenge of complexity

in health care. BMJ: British Medical Journal, 323(7313), 625.

Powsner, S., Costa, J., & Homer, R. (2000). Clinicians are from Mars and pathologists

are from Venus: clinician interpretation of pathology reports. Archives Of Pathology

& Laboratory Medicine, 124(7), 1040-1046.

Praveen, K. & Gomes, L. (2006). A study of the hospital information system (HIS) in

the medical records department of a tertiary teaching hospital. ? Journal Of The

Academy Of Hospital Administration, 18(1).

Prime Minister Office (2010). Tenth Malaysian Plan. Retrieved 24 May 2012 from

https://www.pmo.gov.my/dokumenattached/RMK/RMK10_Eds.pdf.

Prime Minister Office (2011). Economic Transformation Programme: Annual Report

2011. Retrieved 24 May 2012 from http://etp.pemandu.gov.my/annualreport2011/

upload/ENG_Annual_Report.pdf.

Protti, D., Johansen, I., & Perez-Torres, F. (2009). Comparing the application of Health

Information Technology in primary care in Denmark and Andalucía, Spain.

international journal of medical informatics,78(4), 270-283.

Ragunath, P. K., Velmourougan, S., Davachelvan, P., Kayalvizhi, S., & Ravimohan, R.

(2010). Evolving a new model (SDLC Model-2010) for software development life

cycle (SDLC). International Journal of Computer Science and Network Security,

10(1), 112-119.

Rahman, N. A. A., Mohamad, B., & Rahman, N. A. A. (2014). Factors Influencing the

Quality of e-Services on Hospital Information System (HIS) in Malaysia. Procedia-

Social and Behavioral Sciences, 155, 507-512.

Page 71: DEVELOPMENT OF IMPLEMENTATION MODELS FOR …eprints.uthm.edu.my/9228/1/Nurul_Izzatty_Ismail.pdf · iv development of implementation models for hospital information system (his) in

289

Rasiah, R. (ed) (2011) The Malaysian Economy: Unfolding Growth and Social

Change,Kuala Lumpur: Oxford University Press.

Ramaswamy, M., Wong, A., Lee, J., & Huang, H. (1994). Accessing picture archiving

and communication system text and image information through personal computers.

AJR. American Journal Of Roentgenology, 163(5), 1239-1243.

Ramayah, T. & Aafaqi, B. (2005). Intention to shop online amongst MBA students:

Applicability of the Theory of Reasoned Action (TRA), International conference on

E-Commerce 2005 (IcoEC2005), Rechanging for the Challenges Ahead, 10th – 11th

January, 2005, Selangor Darul Ehsan.

Rao, K. (2008). The White Paper on China’s Hospital Information Systems. China:

Hospital Information Management Association (CHIMA) and Accenture, China:

CHIMA and Accenture.

Ratnam, K. A., Dominic, P. D. D., & Ramayah, T. (2014). A structural equation

modeling approach for the adoption of cloud computing to enhance the Malaysian

healthcare sector. Journal of medical systems, 38(8), 1-14.

Rauniar, R., Rawski, G., Yang, J., & Johnson, B. (2014). Technology acceptance model

(TAM) and social media usage: an empirical study on Facebook. Journal of

Enterprise Information Management, 27(1), 6-30.

Remenyi, D., Williams, B., Money, A. and Swartz, E. (1998). Doing Research in

Business and Management. An Introduction to Process and Method, London: Sage.

Rencher, A. (2002). Methods of Multivariate Analysis, Second Edition (1st ed.).

Hoboken, NJ: John Wiley & Sons.

Ribi`ere, V., LaSalle, A., Khorramshahgol, R., & Gousty, Y. (1999). Hospital

information systems quality: a customer satisfaction assessment tool. Proceedings of

the 32nd Hawaii International Conference on System Sciences.

Robertson A, Cresswell K, Takian A, Petrakaki D, Crowe S, Cornford T. (2010).

Implementation and adoption of nationwide electronic health records in secondary

care in England: qualitative analysis of interim results from a prospective national

evaluation. BMJ2010, 341:c4564.

Robinson, L. (2009). A summary of diffusion of innovations. Retrieved 25 December

2013 from http://www. enablingchange.com.au/Summary_Diffusion_Theory.pdf

Page 72: DEVELOPMENT OF IMPLEMENTATION MODELS FOR …eprints.uthm.edu.my/9228/1/Nurul_Izzatty_Ismail.pdf · iv development of implementation models for hospital information system (his) in

290

Robson, C. (2002). Real world research: A resource for social scientists and

practitioner-researchers (Vol. 2). Oxford: Blackwell.

Rogers, E.M. (1995). Diffusion of Innovation, 4th

. Ed. New York: Free Press.

Rosen, P., Spalding, S. J., Hannon, M. J., Boudreau, R. M., & Kwoh, C. K. (2011).

Parent satisfaction with the electronic medical record in an academic pediatric

rheumatology practice. Journal of medical Internet research, 13(2), e40.

Rossi, L., Materia, E., Hourani, A., Yousef, H., Racalbuto, V., Venier, C., & Osman, M.

(2009). Design and implementation of a hospital information system for the

Palestine Red Crescent Society in Lebanon. Eastern Mediterranean Health Journal,

15(3).

Rouibah, K., Lowry, P. B., & Al-Mutairi, L. (2014). Business to Consumer (B2C)

Systems Success Dimensions: Testing a Modified DeLone & McLean IS Success

Model in Kuwait in an E-Commerce Context. Journal of Global Information

Management, 23(3), 41–70.

Royce, W. W. (1970, August). Managing the development of large software systems. In

proceedings of IEEE WESCON, 26(8), 328-388).

Royston, J. (1995). Remark AS R94: A remark on Algorithm AS 181: The W test for

normality. Applied Statistics, 44, 547-551.

Rubin, H., & Rubin, I. (1995). Qualitative interviewing (1st ed.). Thousand Oaks: Sage

Publications.

Saari, M.D. (2007, 5 December). Kos Rawatan Mahal: Pilihan di Tangan Pengguna.

Retrieved April, 21, 2011, at http://www.yadim.com.my/Kesihatan/

KesihatanFull.asp?offset=5&Id=175.

Sánchez, J. L., Savin, S., & Vasileva, V. (2005). Key success factors in implementing

electronic medical records in University Hospital of Rennes.L’Ecole Nationale de la

Santé Publique (National School of Public Health), Rennes, Rennes, France, 1-59.

Saunders, M., Lewis, P., & Thornhill, A. (2008). Research methods for business students

(1st ed.). Harlow, England: Prentice Hall.

Schacht, S. (2014). Bridging the gap of EHR: a comparative study of primary care

physicians in the Netherlands and Germany. 3rd IBA Bachelor Thesis Conference,

July 3rd, 2014, Enschede, The Netherlands.

Page 73: DEVELOPMENT OF IMPLEMENTATION MODELS FOR …eprints.uthm.edu.my/9228/1/Nurul_Izzatty_Ismail.pdf · iv development of implementation models for hospital information system (his) in

291

Schuele, C. M. & Justice, L. M. (2006, August 15). The Importance of Effect Sizes in

the Interpretation of Research : Primer on Research: Part 3. The ASHA Leader.

Schwarz, C., & Schwarz, A. (2016). E-Health and Telemedicine: Concepts,

Methodologies, Tools and Applications (pp. 391-413). USA: Medical Information

Science Reference (An Imprint of IGI Global).

Scupola, A. (2003). The adoption of Internet commerce by SMEs in the south of Italy:

An environmental, technological and Organisational perspective. Journal of Global

Information Technology Management, 6(1), 52-71.

Seddon, P., & Kiew, M. Y. (1996). A partial test and development of DeLone and

McLean's model of IS success. Australasian Journal of Information Systems, 4(1),

90-109.

Sekaran, U. (2006). Research Methods for Business: A Skill Building Approach (4th

ed.). UK: John Wiley & Sons.

Sheikh, A., Cornford, T., Barber, N., Avery, A., Takian, A., Lichtner, V. & Cresswell,

K. (2011). Implementation and adoption of nationwide electronic health records in

secondary care in England: final qualitative results from prospective national

evaluation in ―early adopter‖ hospitals. BMJ, 343.

Sheppard, B., Hartwick, J., & Warshaw, P. (1988). The theory of reasoned action: A

meta-analysis of past research with recommendations for modifications and future

research. Journal Of Consumer Research, 325--343.

Sherer, S. A., Meyerhoefer, C., Sheinberg, M., & Levick, D. (2015). Integrating

Commercial Ambulatory Electronic Health Records with Hospital Systems: An

Evolutionary Process. International Journal of Medical Informatics, 1-11.

Silverman, D. (2011). Qualitative Research (3rd ed.). London: Sage Publication.

Simon, S., McCarthy, M., Kaushal, R., Jenter, C., Volk, L., & Poon, E. et al. (2008).

Electronic health records: which practices have them, and how are clinicians using

them?. Journal Of Evaluation In Clinical Practice, 14(1), 43-47.

Smith, J. K. (1983). Quantitative versus qualitative research: An attempt to clarify the

issue. Educational Researcher, 12, 6–13.

Page 74: DEVELOPMENT OF IMPLEMENTATION MODELS FOR …eprints.uthm.edu.my/9228/1/Nurul_Izzatty_Ismail.pdf · iv development of implementation models for hospital information system (his) in

292

Smelcer, J.B. Miller-Jacobs, H. & Kantrovich, L. (2009). Usability of Electronic

Medical Records. Journal of Usability Studies, 4(2) pp. 70-84.

Soini, E. and Tolppanen, E. (1982). COSTAR-Based Outpatient Information System in

Helsinki University Central Hospital. Proc Annu Symp Comput Appl Med Care,

162–165.

Sonoda, T. (2011). Evolution of Electronic Medical Record Solutions. FUJITSU Sci.

Tech. J., Vol. 47(1), 19–27.

Stake, R. E. (2000). Case studies. In Norman K. Denzin & Yvonna S. Lincoln (Eds.),

Handbook of qualitative research (pp.435-453). Thousand Oaks: Sage.

Starfield, B. H., Simborg, D. W., Horn, S. D., & Yourtee, S. A. (1976). Continuity and

coordination in primary care: their achievement and utility.Medical care, 14(7), 625-

636.

Stienen, J. J., Ottevanger, P. B., Wennekes, L., Dekker, H. M., van der Maazen, R. W.,

Mandigers, C. M. & Hermens, R. P. (2015). Development and Evaluation of an

Educational E-Tool to Help Patients With Non-Hodgkin's Lymphoma Manage Their

Personal Care Pathway. JMIR research protocols,4(1), e6.

Strauss, A., & Corbin, J. (1998). Basics of qualitative research (1st ed.). Thousand

Oaks: Sage Publications.

Sulaiman, H., & Wickramasinghe, N. (2014). Assimilating Healthcare Information

Systems in a Malaysian Hospital. Communications Of The Association For

Information Systems, 34(78), 1291-1318.

Suleiman, A. (2008). E Health in Health Development in Malaysia. In HIMSS

AsiaPac08 Conference & Exhibition.

Sukums, F., Mensah, N., Mpembeni, R., Massawe, S., Duysburgh, E., Williams, A. &

Blank, A. (2015). Promising adoption of an electronic clinical decision support

system for antenatal and intrapartum care in rural primary healthcare facilities in

sub-Saharan Africa: The QUALMAT experience. International journal of medical

informatics, 1-11.

Sullivan, G.M. and Feinn, R. (2012). Using Effect Size—or Why the P Value Is Not

Enough. Journal of Graduate Medical Education, 4(3): 279–282.

Page 75: DEVELOPMENT OF IMPLEMENTATION MODELS FOR …eprints.uthm.edu.my/9228/1/Nurul_Izzatty_Ismail.pdf · iv development of implementation models for hospital information system (his) in

293

Swarbrick (2012). Multivariate Data Analysis For Dummies (1st ed.). England: John

Wiley & Sons, Ltd.

Switz, D. (1976). The problem-oriented medical record: evaluation and management of

anemia before and during use. Archives Of Internal Medicine, 136(10), 1119-1123.

Syed Mohamad, S.M., Mohd, H. and Marzuki, Z. (2008). Pre-implementation

Framework for Electronic Medical Record Project, Proceeding of Science,

technology and Social Science 2008, 2, 441-448.

Tachinardi, U., Gutierrez, M., Moura, L., & Melo, C. (1994). Integrating Hospital

Information Systems. The challenges and advantages of (re-) starting now., 84.

Tashakkori, A., & Teddlie, C. (1998). Mixed methodology (1st ed.). Thousand Oaks,

Calif.: Sage.

Tashakkori, A., & Tedlie, C. (2003). Issues and dilemmas in teaching research methods

courses in social and behavioral sciences: A US perspective. International Journal

Of Social Research Methodology, 6(1), 61-77.

Tabachnick, B., & Fidell, L. (2001). Using Multivariate Statistics. 4th ed. California:

Thousand Oaks.

Thong, J.Y.L. (1999). An Integrated Model of Information Systems Adoption in Small

Business. Journal of Management Information Systems, 15(4), 187-214.

Tornatzky, Louis G. & Fleischer, M. (1990). The Processes of Technological

Innovation. Lexington Books.

Travers, M. (2001). Qualitative research through case studies. Sage.

Vagias, W. M. (2006). Likert-type scale response anchors. Clemson International

Institute for Tourism & Research Development, Department of Parks, Recreation

and Tourism Management. Clemson University.

Vegoda, M., & Dyro, J. (1986). Implementation of an advanced clinical and

administrative hospital information system. International Journal Of Clinical

Monitoring And Computing, 3(4), 259-268.

Ven, K. & Verelst, J. (2011). An empirical investigation into the assimilation of open

source server software. Communications of the Association for Information Systems,

28(9), 117-140.

Page 76: DEVELOPMENT OF IMPLEMENTATION MODELS FOR …eprints.uthm.edu.my/9228/1/Nurul_Izzatty_Ismail.pdf · iv development of implementation models for hospital information system (his) in

294

Venkatesh, V., & Bala, H. (2008). Technology acceptance model 3 and a research

agenda on interventions. Decision Sciences, 39(2), 273-315.

Venkatesh, V., & Davis, F. (1996). A model of the antecedents of perceived ease of use:

Development and test. Decision Sciences, 27(3), 451-481.

Venkatesh, V., & Davis, F. (2000). A theoretical extension of the technology acceptance

model: four longitudinal field studies. Management Science, 46(2), 186-204.

Venkatesh, V., Morris, M., Davis, G., & Davis, F. (2003). User acceptance of

information technology: Toward a unified view. MIS Quarterly, 27(3).

Venkatesh, V., Thong, J. Y., & Xu, X. (2012). Consumer acceptance and use of

information technology: extending the unified theory of acceptance and use of

technology. MIS quarterly, 36(1), 157-178.

Wang, S.J. (2003). A cost-benefit analysis of electronic medical records in primary care.

The American Journal of Medicine, 114(5), 397- 403.

Webster, J., & Martocchio, J. (1995). The differential effects of software training

previews on training outcomes. Journal Of Management, 21(4), 757-787.

Wee, C. H., & Jomo, K. S. (2007). Equity in Malaysian health care: An analysis of

public health expenditures and health care facilities'. Health Care in Malaysia: The

Dynamics of Provision, Financing and Access, Routledge, Hoboken, 102-16.

Weed, L.L. (1964). Medical Recods, Patient Care, and Medical Education. Ireland

Journal of Medical Science, 271-282.

Weed, L.L. & Zimny N.J. (1989). Coupling, and Clinical Decision Making The

Problem-Oriented System, Problem-Knowledge. Phys Ther, 69, 565-568.

Wendt, T., Haber, A., Brigl, B., & Winter, A. (2004). Modeling hospital information

systems (part 2): using the 3LGM2 tool for modeling patient record management.

Methods Of Information In Medicine-Methodik Der Information In Der Medizin,

43(3), 256--267.

Winter, A., & Haux, R. (1995). A three-level graph-based model for the management of

hospital information systems. Methods Of Information In Medicine, 34(4), 378-396.

Page 77: DEVELOPMENT OF IMPLEMENTATION MODELS FOR …eprints.uthm.edu.my/9228/1/Nurul_Izzatty_Ismail.pdf · iv development of implementation models for hospital information system (his) in

295

Xu, W., Guan, Z., Cao, H., Zhang, H., Lu, M., & Li, T. (2011). Analysis and evaluation

of the Electronic Health Record standard in China: A comparison with the American

national standard ASTM E 1384. international journal of medical informatics, 80(8),

555-561.

Yang, Z., Kankanhalli, A., Ng, B. Y., & Lim, J. T. Y. (2015). Examining the pre-

adoption stages of healthcare IT: A case study of vital signs monitoring systems.

Information & Management, 52(4), 454-467.

Yang, Z., Kankanhalli, A., Ng, B. Y., & Lim, J. T. Y. (2013). Analyzing the enabling

factors for the Organisational decision to adopt healthcare information systems.

Decision Support Systems, 55(3), 764-776.

Yin, R. (2003). Case study research, design and methods (3rd ed.). Thousand Oaks, CA:

Sage Publication.

Yin, R. (2010). Case Study Research: Theory, Methods, Practice (4th ed.). Woodside,

A. G: Emerald Group Publishing.

Yucel, G., Cebi, S., Hoege, B., & Ozok, A. F. (2012). A fuzzy risk assessment model for

hospital information system implementation. Expert Systems with Applications,

39(1), 1211-1218.

Zailani, S., Iranmanesh, M., Nikbin, D., & Beng, J. K. C. (2015). Determinants of RFID

adoption in Malaysia‘s healthcare industry: occupational level as a

moderator. Journal of medical systems, 39(1), 1-11.

Zailani, S., Gilani, M. S., Nikbin, D., & Iranmanesh, M. (2014). Determinants of

telemedicine acceptance in selected public hospitals in Malaysia: Clinical

perspective. Journal of medical systems, 38(9), 1-12.

Zakaria, N., Stanton, J., & Stam, K. (2003). Exploring security and privacy issues in

hospital information system: an Information Boundary Theory perspective, 2003,

1059.

Zhang, P., Aikman, S., & Sun, H. (2008). Two types of attitudes in ICT acceptance and

use. Intl. Journal Of Human--Computer Interaction, 24(7), 628--648.

Zhu, K., Kraemer, K.L. and Xu, S. (2003). E-Business Adoption by European Firms: A

Cross-Country Assessment of the Facilitators and Inhibitors. European Journal of

Information Systems 12(4), 251-268.

Page 78: DEVELOPMENT OF IMPLEMENTATION MODELS FOR …eprints.uthm.edu.my/9228/1/Nurul_Izzatty_Ismail.pdf · iv development of implementation models for hospital information system (his) in

296

Zielstorff, R.D. Jette, A.M. Barnett, G.O., Schaumburg, D., Piggins, J., Weidman-Dahl,

F., Gross, H. and Webster, S. (1985). A COSTAR System for Hospital-Based

Coordination of Long Term Care for the Elderly. Proc Annu Symp Comput Appl

Med Care, 17–21.

Zikos, D., Liaskos, J., Diomidous, M., & Mantas, J. (2009). Collection and sharing of

information on patient safety education and training in Europe., 745-749.