The Various Roles and Challenges Associated with Information Governance Implementation

12 December 2010

Tatiana StebakovaManager Information and Standards at National eHealth Transition Authority (NEHTA)

About NEHTA

The National E-Health Transition Authority Limited (NEHTA)

was established by the Australian Commonwealth, State and Territory governments on 5 July, 2005 to develop better ways of electronically collecting and securely exchanging health information.

Presentation contents

• Why Information governance must concern senior management and executives? Information quality governance as a strategy for risk avoidance

• The various roles associated with information governance and challenges associated with information governance implementation

• From information creators to users: why should everyone be part of information governance?

• Data Governance implementation in action (example of Information quality governance implementation for the National Unique Healthcare Identification Services)

Why Information governance must concern senior management and executives?

Information quality governance as a strategy for risk avoidance

In 1805, the Austrian and Russian Emperors agreed to join forces against Napoleon. The Russians promised that their forces would be in the field in Bavaria by Oct. 20.

The Austrian staff planned its campaign based on that date in the Gregorian calendar. Russia, however, still used the ancient Julian calendar, which lagged 10 days behind.

The calendar difference allowed Napoleon to surround Austrian General Mack's army at Ulm and force its surrender on Oct. 21, well before the Russian forces could reach him, ultimately setting the stage for Austerlitz.

Source: David Chandler, The Campaigns of Napoleon, New York: MacMillan 1966, pg. 390,cited by R. Wang.

Begin from the beginning

40 billion reasons to spend money on Data Quality

• Wanted to sell 1 share for 600,000 yen

• Sold 600,000 shares for 1 yen• 40 billion yen loss (133 millions)• System did not have limit

checking and did not allow order cancellation

Data Quality and National Security

From information creators to users: why should everyone be part of information governance?

Information Factory

Data Stewardship v. Data Governance

Data Governance

is high level policy

making and arbitration

on data decisions

Data Stewardship

Day-to-day data

management activities to ensure that data meets stakeholders expectations

–Strategic level–Tactical level–Operational level

"Studies in cost analysis show that between 15% to > 20% of a company’s operating revenue is spent doing things to get around or fix data quality issues"  Larry English, Information Impact International, Inc  

14 Deming Points Pat Oliphant's Illustrations

Data Governance implementation in action -

National Unique Healthcare Identification Services

Data Quality Strategy

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Data Quality Implementation Roadmap

Data Quality Maturity Model

Level 1 – InitialLevel 2 – Repeatable Level 3 – DefinedLevel 4 – ManagedLevel 5 - Optimized

Data Quality Dimensions 1. Semantic2. Structure3. Provenance4. Completeness5. Consistency6. Currency7. Timeliness8. Accuracy9. Fitness for Use10. Compliance11. Quality rating

Data Quality Standards & Practices· Structure and format standards adhered to in all data exchanges· Certification of trusted data sources in place· Community-wide data standards metadata management· Exchange schemas are endorsed through data standards oversight

process

Data Quality Policies & Protocols· Policy-based Data Quality management on individual and at

community level· Data validation protocols· Data Provenance management

Data Quality Technology and Operations Guidelines· Standardization of Technology components across the community · Design and service use guidelines· Standardized techniques and procedures for data validation,

certification, quality assurance, and reporting

Data Quality Performance Management· Measuring conformance to data quality standards, expectations· Identifying where significant negative impacts are incurred due to

poor data quality· Providing longitudinal tracking for identifying and measuring areas

for improvement.

Data Quality GovernanceD

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Data Quality Framework: Governance

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http://members.ozemail.com.au/~enigman/australia/tas.html

WA DQ Forum

SA DQ Forum

NT DQ Forum

VIC DQ Forum

TAS DQ Forum

DQ Steering Committee

4 members

QLD DQ Forum

ACT DQ Forum MCA HI Operations

Review Forum NEHTA DQ Forum Workgroups (9 members in each group)Public and Private Hospitals WorkgroupTrusted Data Sources (TDS) WorkgroupDiagnostics and Pharmacy Workgroup Primary Care Workgroup (includes allied health)

Jurisdictional Working Party Structure(5 members - each workgroup representative and a chairPublic and Private Hospitals WorkgroupTrusted Data Sources (TDS) WorkgroupDiagnostics and Pharmacy Workgroup Primary Care Workgroup (this will include allied health)

NEHTA DQ Forum Structure:

DQ Forum Director

DQ Technical Certification and Audit

Group5 members

DQ Technical Advisory Group

5 members

DQ Oversight Board

DQ Standards Advisory Group

5 members

NSW DQ Forum

Thank You and Questions