utility and added value of classifications in health information systems
DESCRIPTION
Health Information Systems; ICD, ICD11, SNOMED-CT, Use Cases showing benefits of use of classification- terminology systems; avoid and e-tower of Babel; electronic health record, Enhance Patient Care, Decision Support, Safety & QualityTRANSCRIPT
Utility & Added-value of Classifications
in Health Information SystemsTevfik Bedirhan Üstün
Classifications, Terminologies, Standards Team World Health Organization
A Web of Collaborators
ICD11ICFICHI
“Key” in the keynote
CLASSIFICATIONS TERMINOLOGIES & standards
… BUILDING BLOCKS OF HEALTH INFORMATION …
Sharing Meaning
YOU• Think• wish to express• think you have just
expressed• you expressed• …
OTHER ONE• wants to hear• Actually hears• wishes to understand• understands• …
Genealogy of ICD 1664
350years
ICD Revisions139
161
179
189
205
214
200
954
965
1,0
40
1,1
64
8,1
73
1,9
67
14,4
73
1
10
100
1000
10000
100000F
arr
/d'E
spin
e
Bert
illo
n
ICD
1
ICD
2
ICD
3
ICD
4
ICD
5
ICD
6
ICD
7
ICD
8
ICD
9
ICD
-9-M
ICD
10
ICD
-10-M
1853 1893 1900 1909 1920 1929 1938 1948 1955 1968 1975 1979 1990 1993
Placing WHO Classifications in HIS & IT
Population Health• Births • Deaths • Diseases• Disability • Risk factors
ICD
ICF
ICHI
Classifications
Clinical• Decision Support• Integration of care• Outcome
Administration• Scheduling• Resources • Billing
Reporting• Cost• Needs• Outcome
Current Analog situation
Current Analog situation
Placing WHO Classifications in HIS & IT
Population Health• Births • Deaths • Diseases• Disability • Risk factors
e-Health RecordSystems
ICD
ICF
ICHI
Classifications
LinkagesKRs
Terminologies
Clinical• Decision Support• Integration of care• Outcome
Administration• Scheduling• Resources • Billing
Reporting• Cost• Needs• Outcome
ICD-11 Revision Goals1. Evolve a multi-purpose and coherent classification
– Mortality, morbidity, primary care, clinical care, research, public health…
– Consistency & interoperability across different uses
2. Serve as an international and multilingual reference standard for scientific comparability and communication purposes
3. Ensure that ICD-11 will function in an electronic environment.• ICD-11 will be a digital product• Support electronic health records and information systems
• Link ICD logically to underpinning terminologies and ontologies (e.g. SNOMED, GO, …)• ICD Categories “defined” by "logical operational rules" on their associations and details
WHY ?
• Essential for EHR
• Enhance Care
• Decision Support
• Safety & Quality
• Better Collaboration
• Monitoring & Evaluation
• Better Health Information
• Less Administration
Why is this Sooooo important ?
How do we optimize
our health services
Health Information Systems:Analog to Digital
Digital Models
New business models
Existing business models
New products
Existing products
e-bay e-trade
e-banking e-media (music/video)
e-health
Computers are S T U P I D
? They cannot ask questions
¿ They may –if you
enable them - only give you answers.
Pablo Picasso
Ontology (philosophy)the Organization of Reality !!!
Ontology (computer science) – the explicit – operational description
of the conceptualization of a domain• Entities • Atributes • Values
• An ontology defines:– a common vocabulary – a shared understanding/exchange:
• among people• among software agents• between people and software
– to reuse data - information– to introduce standards to allow
interoperability
What is “NOntology” ?
THE CONTENT MODELAny Category in ICD is represented by:
1. ICD Concept Title1.1. Fully Specified Name
2. Classification Properties2.1. Parents2.2 Type2.3. Use and Linearization(s)
3. Textual Definition(s)
4. Terms4.1. Base Index Terms4.2. Inclusion Terms4.3. Exclusions
5. Body Structure Description 5.1. Body System(s) 5.2. Body Part(s) [Anatomical Site(s)]5.3. Morphological Properties
6. Manifestation Properties6.1. Signs & Symptoms 6.2. Investigation findings
7. Causal Properties7.1. Etiology Type7.2. Causal Properties - Agents7.3. Causal Properties - Causal Mechanisms 7.4. Genomic Linkages7.5. Risk Factors
8. Temporal Properties8.1. Age of Occurrence & Occurrence Frequency8.2. Development Course/Stage
9. Severity of Subtypes Properties
10. Functioning Properties10.1. Impact on Activities and Participation10.2. Contextual factors10.3. Body functions
11. Specific Condition Properties11.1 Biological Sex11.2. Life-Cycle Properties
12.Treatment Properties
13. Diagnostic Criteria 20
The ICD Foundation Component
• is a collection of ALL ICD entities like diseases, disorders...
• It represents the whole ICD universe.
• In a simple way, the foundation component is similar to a “store” of books or songs.
• From these elements we build a selection as a linearization.
• This analogy may however be misleading because there are many links between the ICD entities (like parent-child relations and other).
• The ICD entities in the Foundation Component:
• are not necessarily mutually exclusive• allow multiple parenting ( i. e. an entity may be
in more than one branch, for example tuberculosis meningitis is both an infection and a brain disease)
The ICD Linearizations• A linearization is a subset of the
foundation component, that is: • Fit for a particular purpose: reporting mortality,
morbidity, or other uses• Jointly Exhaustive of ICD Universe (Foundation
Component) • Composed of entities that are Mutually Exclusive
of each other• Each entity is given a single parent
Skin
Neoplasms
ICD11 Components: Linearizations
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Foundation: ICD categories with
- Definitions, synonyms- Clinical descriptions- Diagnostic criteria- Causal mechanism- Functional Properties
Find Term
SNOMED-CT, International Classification of Functioning, Disability and Health (ICF)…
Linearizations
Mortality
Morbidity
Primary Care
iCAT• Open and Collaborative Platform
– Web based
– Like WIKIPEDIA• But
– by the Content Model • with
– by the TAGs , and scientific peers
iCATCollaborative Authoring Tool
for ICD Revision
structured
Editorial Oversight
ICD11 βetahttp://www.who.int/classifications/icd/revision
• Beta – Browser & Print 10 look & feel + descriptions – code structure !
• ICD-11 Beta draft is NOT FINAL
• updated on a daily basis
• NOT TO BE USED for CODING except for agreed FIELD TRIALS
βeta
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ICD-11 Features
Internet Based Platform
Content Model
Multi Lingual Representations
Definitions
Input from all Stakeholders
Arabic لعربية 官话 ChineseEnglish EnglishFrançais FrenchРусский язык Russian Español Spanish Deutsch German Português Portuguese
Field Trials for Use Cases
Electronic Health Record Ready
Beta
• Comments• Proposals• Field Trials• Review Mechanism
Incentives for Participants
ICD-11 Timeline
• 2014 : Beta : Field Trials Version – Systematic/scientific reviews– Vigorous crowdsourcing– Field Trials
• 2017 : Final version for WHA Approval– 2018+ implementation Perpetual DIGITAL editing – review cycles
SNOMED : Old and Current
FormerSNOMED
Enterprise
College
American
PathologistsGlobal
Network
Overall Health Care
Why work together?– WHO & IHTSDO
– Coverage & Adequacy– Quality – Reliability - Utility– MultiLingual Applicability– Interoperability– Sustainability
– Member States: Enable health care delivery
and compile health information
SNOMED & WHO Classifications are synergistic and not antagonistic
The «Common Ontology» Purpose
• To provide a common formal knowledge representation structure to enable interoperability between:– ICD-11 and SNOMED CT. – a shared semantics
Ultimate “Turing-like” Test
?≡
If common ontology achieved
Cerebrovascular diseasehttp://mitel.dimi.uniud.it/whotools/mappingTools/mappet/
Humpty Dumpty Theory
• "When I use a word," Humpty Dumpty said, in rather a scornful tone, "it means just what I choose it to mean- neither more nor less."
Grade 3 hypertension
Grade 2 hypertension
Grade 1 hypertension
High normal
normal
optimal
120 130 140 150 160 170 180
Systolic pressure
Dia
stol
ic p
ress
ure
172
102
110
105
100
95
90
85
80
Knowledge Representation
37
Rewriting ICD Using SNOMEDexample of Depressive Disorder F32.0
A. Low mood {41006004}
Loss of interest {417523004 }
Low energy {248274002}
1. Appetite (decrease, increase) {64379006, 72405004}
2. Body weight (decrease, increase) {89362005, 8943002}
3. Sleep (decrease, increase) {59050008, 77692006}
4. Psychomotor (decrease, increase) {398991009, 47295007}
5. Libido loss {8357008}
6. Low self esteem {286647002, 162220005}
7. Guilt, self blame {7571003}
8. Thoughts of death …
9. Suicide Ideation {102911000, 6471006}
B.
Beyond GoogleTM
Semantic Interoperability for HIS
• Search using Concepts above Words– How many patients do have diabetes mellitus type II?
• Extraction of Concepts from Health Records– Automated extraction of Hb1Ac results of selected patients with DM type II
from lab reports within last year
• Statistical Index on Community Collections– Calculation of coverage gap for treatment need for diabetes mellitus
• Concept Navigation across Collections– Comparison of region A with region B etc
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Negation - disjunction
Real Time Public HealthRule-based Aggregation @ Individual, Facility, Population levels
Public Health, Epi & Surveillance
Findings InterventionsEvents
Clinical Information
ReimbursementResource Management
Clinical Use Case: Exploration of Cough
Fever
386661006
COUGH
49727002
WET COUGHsputum
28743005
Hemoptisia
Blood in Sputum
207069003
• X-ray : Tbc? • Culture
399208008
104184002
• Diagnosis: Tuberculosis 154283005A 15.0
• Treatment: DOTs { 324453004 }
Interoperability