SlideShare a Scribd company logo
Dr. T. Bedirhan Üstün
World Health Organization
Classifications, Terminologies, Standards
WHO on
ICD and Health Information
KEY MESSAGES:
1. ICD-11 should be simplified
2. ICD-11 should be computerized
3. ICD-11 should be fit for purpose
4. ICD-11 should be easy to teach, implement
5. ICD-11 should speak the same language in PC and Specialty
 All efforts on ICD-10 and ICD-11 should
converge
SIMPLICITY
Is the
Ultimate
Sophistication
Shepherding
simple requirements
1. Count your sheep
• How many born ?
• How many dead ?
Reporting of Mortality in the World
Source WHO 2014
Information Paradox
0
100000000
200000000
300000000
400000000
500000000
600000000
700000000
800000000
1 2 3 4
YLLs
VR countries vs No VR
Burden of Mortality
Carpet burnt
Shepherding
simple requirements
1. Count your sheep
• How many born ?
• How many dead ?
2. Don’t cry wolf !
Genealogy of ICD  1664
350
years
ICD Revisions
139
161
179
189
205
214
200
954
965
1,040
1,164
8,173
1,967
14,473
1
10
100
1000
10000
100000
Farr/d'Espine
Bertillon
ICD1
ICD2
ICD3
ICD4
ICD5
ICD6
ICD7
ICD8
ICD9
ICD-9-M
ICD10
ICD-10-M
1853 1893 1900 1909 1920 1929 1938 1948 1955 1968 1975 1979 1993 1993
Placing WHO Classifications in HIS & IT
Population Health
• Births
• Deaths
• Diseases
• Disability
• Risk factors
e-Health Record
Systems
ICD
ICF
ICHI
Classifications
Linkages
KRs
Terminologies
Clinical
• Decision Support
• Integration of care
• Outcome
Administration
• Scheduling
• Resources
• Billing
Reporting
• Cost
• Needs
• Outcome
ICD-11 Revision Goals
1. 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
Construction of ICD-10:
Revision Process in 20th Century
• 8 Annual Revision Conferences (1982 - 89)
• 17 – 58 Countries participated
• 1- 5 person delegation
• Manual curation
• List exchange
• Index was done later
• "Decibel" ? Method of discussion
• Output: Paper Copy
• Work in English only
• Limited testing in the field
Construction of ICD-11:
Revision Process in the 21st Century
• Internet-based permanent platform
• All year round
• Open to all people in a structured way
• Content experts focus
• Digital curation
• Wiki enabled collaboration
• Ontology based
• Enhanced discussion & peer review
• TAGs serve as the editorial group
• Electronic copy  print version
• Work in multiple languages
• Planned field tests
• Based on Use Cases
How do we go
from Here to 21st Century?
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
• …
Knowledge Representation
the triad of
things, thoughts and words
(Ogden & Richards, 1923 )
APPLE
TERM
Ontology (philosophy)
– the Organization of Reality 
Ontology (computer science)
– the explicit – operational
description of the conceptualization
of a domain:
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
Ontology?
• Open and Collaborative Platform
• Web based
• Like WIKI
• But
• by the Content Model
• with
• by the TAGs , and scientific peers
ICD11 βeta
• http://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
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, songs, lego pieces.
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
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
Linearizations:
Zoom-in Zoom-Out
Linearizations:
PC short PC Intermediate JLMMS
Title Primary C. Joint Lin. Ophthalm.
Cataract code code code
Age-related cataract code code code
Cortical age-related cataract other other code
Nuclear age-related cataract other other code
Cataracta brunescens other other code
Nuclear sclerosis cataract other other code
Capsular and Subcapsular age-related cataract other other code
Capsular age-related cataract other other code
Anterior subcapsular polar age-related cataract other other code
Posterior subcapsular polar age-related cataract other other code
Incipient age-related cataract other other code
Coronary age-related cataract other code code
Punctate age-related cataract other code code
Water clefts other other code
Advanced or mature age-related cataract other other code
Mature age-related cataract other code code
Subtotal advanced or mature age-related cataract other other code
Advanced or mature age-related cataract, total cataract other other code
Morgagnian age-related cataract other other code
Calcified age-related cataract other other code
Combined forms of age-related cataract other other code
DIGITAL ZOOMING
APN Hamamatsu Meeting - 2009
1. A Primary Care classification must be short and simple.
2. There should be no redundancy between coding systems. ICD-11 and ICPC should be compatible.
3. Classification rubrics in primary care are heterogeneous ranging from ; there may be many different factors important
to each case. There needs to be a proper decision of what factors are to be defined in classification.
4. Primary care does not exist on its own, but within an overall health system. Primary care should not be approached as
if there is no secondary or tertiary care. This must be considered when designing the PC Classifications and
appropriate collaboration systems built between primary, secondary and tertiary care systems.
5. It is important that Primary Care Classification revision be well coordinated for different types of providers and
consumers. There needs to be efficient sharing of information between all stakeholders.
6. The Primary Care Classifications should be based on established terminologies/ontologies. This will be the basis
for linking with health records and assuring quality assurance. This underpinning systems will enlight how different
coding systems interact with each other.
7. There must be incentives for the users of Primary Care Classification. Primary Care Practitioners will classify if
they are given reasons to do so, and classification systems should be developed with this in mind. One incentive for
use of the system may be the management guidance.
8. In many countries it is not possible to have a second layer of coders in addition to the practitioners. Methods should
be developed for primary care providers allowing code themselves.
9. PC classifications should be tested in the real world to identify issues of feasibility, reliability and these tests
should be used to improve their user-friendliness.
10. PC classifications should be of at least two levels of complexity: (a) resource poor settings; (b) resource rich
settings.. PC Classification systems should be usable electronically and on paper.
Inpatients
Outpatients
PHC - Recognized
PHC - Attenders
The Community
Where Do People Seek Help ?
1
5
25
50
100
Data Collected But Not Used
the information YOU -
₋ have is not what you want
₋ want is not what you need
₋ need is not what you can have
Finagle's Law of Information
have
want
need
In other words there is always a gap between what you have, need or want
Halfdan Mahler
WHO Director General. 1973-1988
ICD can only be a door stopper
in Primary Care
PHC … RENEWAL … NEW WAYS
WHO-FIC in Primary Care
• WHO FIC elements are not currently suitable for use in primary care:
• They are complex,
• Too detailed
• No reward to the user.
• WHOFIC for Primary Care should be
• Concise
• Focused on frequent and important conditions in Primary Care
• Should be treatable in Primary Care
• Providers should be able to code the information.
ICD-10 PC
ICD-10 PC for Mental Health
Diagnostic Guidelines
• Presenting Complaints
• Diagnostic Criteria
• Differential Diagnosis
Management Guidelines
• What to say to patient and family
• What sort of psychological counseling
• Prescription: what, when, how ...?
• When and how to refer a specialist
Future work
• Selection criteria for ICD categories
• ICF-PC  disability categories
• ICHI-PC  intervention categories
• Signs - symptoms (Chapter R)
• Contextual factors (Chapter Z)
• Reason for Encounter use
• Other …
CLASSIFICATIONS … BUILDING BLOCKS OF HEALTH INFORMATION …
EVALUATION:
Do Classifications increase ...
• … recognition ?
• … diagnosis ?
• … accuracy of diagnosis?
• … treatment ?
— prescription ?
— compliance ?
• … referral ?
• … outcome ?
• … patient satisfaction ?
Primary Care Classifications
• Comprehensive - not a single chapter-oriented
• Brief - yet covering all common disorders
• User-friendly and flexible with different modules
• Emphasis on Doctor-Patient relationship
• Management-oriented “Treatment Guidelines” ?
• Dual function: used both for training and in daily practice
• Culture-oriented: can be applied in many different cultures
• extensive implementation and evaluation process
• endorsed by WHO, WONCA, APN and multiple parties
• Creating a network (or integrating into existing ones) between primary care physicians and
psychiatrists.
Real Time Public Health
Rule-based Aggregation @ Individual, Facility, Population levels
Public Health,
Epi & Surveillance
Findings InterventionsEvents
Clinical Information
Reimbursement
Resource Management
PHC … RENEWAL … NEW WAYS
Every programme,
project, partner
has a separate
M&E plan
Every M&E plan
focuses on indicators
but not on the system
for generating them
Need for Integration
Clinical Use Case:
Exploration of Cough
Fever
386661006
COUGH
49727002
WET COUGH
sputum
28743005
Hemoptisia
Blood in Sputum
207069003
• X-ray : Tbc?
• Culture
399208008
104184002
• Diagnosis: Tuberculosis 154283005
A 15.0
• Treatment: DOTs { 324453004 }
From David Werner and David Sanders. Questioning the Solution. The Politics of Primary Health Care and Child Survival with an in-depth critique of Oral
Rehydratation Therapy. Palo Alto: Health Rights, 1997.
The Power of ORS
Why is this Sooooo important ?
GIGO:
Garbage In
Out ?
Beyond
• Search using Concepts above Words
• How many patients do have diabetes mellitus type II?
• Extraction of Concepts from Health Records
• Automated extraction of HbA1c 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
50
Grade 3 hypertension
Grade 2 hypertension
Grade 1 hypertension
High normal
normal
optimal
120 130 140 150 160 170 180
Systolic pressure
Diastolicpressure
172
102
110
105
100
95
90
85
80
Knowledge Representation
51
Uniform Resource Identifiers
URI: //id.who.int/….
• enable links to other established terminology,
ontologies
• allow impact analysis possible via W3C
• e.g. where on the world these are used or not used
• Useful for translations:
• the concepts will indicate a language-independent construct
and translations will refer to the unique source concept.
Current Status
• Frozen June 2015
• iCAT continues real time… BROWSER
• JLMMS is frozen for review
• Definitions
• Top level > 75 % ~ 10,000 definitions
• Linearization errors < 344 (from 10K)
• Duplicates < 651 (from 3K)
• 2015 : Beta version & Field Trials Version (June /September 15)
• 2016 : World Health Assembly Information Presentation
Field trials
• 2018 : Final version for WHA Approval
• 2018+ implementation
• Continuous Annual Cycles
• ICD 2019
• ICD 2020
• ICD 2021
ICD-11 Timeline
Coding Tool
Coding Tool
Print Versions
Transcoding tables ICD-10 to ICD-11
in excel
ICD-10 ICD-11 correspondence
• 3 character – 1183 (w/o ECI & Residuals)
• 951 Equivalent
• 191 mapped to a larger entity in 11
• with post coordination many have equivalent maps
• 41 not mapped
• 4 character - 6635
• 4343 Equivalent
• 2207 mapped to a larger entity in 11
• with post coordination many have equivalent maps
• 85 not mapped
ICD Translation Tool: French
ICD Translation Tool: Japanese
ICD11 Translation Tool: Chinese
PHC … RENEWAL … NEW WAYS
ICPC within WHO-FIC
Millenium Development Goals
What do we do with our “time” ?
Global Village … It takes a village…
It takes
the whole globe
to share data
Questions & Answers
ustunb@who.int
@ustunb
bedirhan-ustun

More Related Content

Viewers also liked

USTUN_ Digital Health Assembly Open Innovation Conference: Sharing Global Da...
USTUN_ Digital Health Assembly Open Innovation Conference:  Sharing Global Da...USTUN_ Digital Health Assembly Open Innovation Conference:  Sharing Global Da...
USTUN_ Digital Health Assembly Open Innovation Conference: Sharing Global Da...
Bedirhan Ustun
 
Making health data work for Patients and Populations
Making health data work for Patients and PopulationsMaking health data work for Patients and Populations
Making health data work for Patients and Populations
Bedirhan Ustun
 
Bogazici ICF 2015
Bogazici ICF 2015Bogazici ICF 2015
Bogazici ICF 2015
Bedirhan Ustun
 
Çatışma ve Travma ne zaman yararlıdır ?: Psikiyatride travma sonrası ne yapab...
Çatışma ve Travma ne zaman yararlıdır ?: Psikiyatride travma sonrası ne yapab...Çatışma ve Travma ne zaman yararlıdır ?: Psikiyatride travma sonrası ne yapab...
Çatışma ve Travma ne zaman yararlıdır ?: Psikiyatride travma sonrası ne yapab...
Bedirhan Ustun
 
Babil Kulesinden Picasso'ya: Sağlık Bilişiminde birbirini anlamak
Babil Kulesinden Picasso'ya: Sağlık Bilişiminde birbirini anlamak Babil Kulesinden Picasso'ya: Sağlık Bilişiminde birbirini anlamak
Babil Kulesinden Picasso'ya: Sağlık Bilişiminde birbirini anlamak
Bedirhan Ustun
 
Zihin Beden Dichotomy
Zihin Beden Dichotomy Zihin Beden Dichotomy
Zihin Beden Dichotomy
Bedirhan Ustun
 

Viewers also liked (8)

USTUN_ Digital Health Assembly Open Innovation Conference: Sharing Global Da...
USTUN_ Digital Health Assembly Open Innovation Conference:  Sharing Global Da...USTUN_ Digital Health Assembly Open Innovation Conference:  Sharing Global Da...
USTUN_ Digital Health Assembly Open Innovation Conference: Sharing Global Da...
 
Making health data work for Patients and Populations
Making health data work for Patients and PopulationsMaking health data work for Patients and Populations
Making health data work for Patients and Populations
 
Bogazici ICF 2015
Bogazici ICF 2015Bogazici ICF 2015
Bogazici ICF 2015
 
Perfil profesional
Perfil profesionalPerfil profesional
Perfil profesional
 
Icd presentation
Icd presentationIcd presentation
Icd presentation
 
Çatışma ve Travma ne zaman yararlıdır ?: Psikiyatride travma sonrası ne yapab...
Çatışma ve Travma ne zaman yararlıdır ?: Psikiyatride travma sonrası ne yapab...Çatışma ve Travma ne zaman yararlıdır ?: Psikiyatride travma sonrası ne yapab...
Çatışma ve Travma ne zaman yararlıdır ?: Psikiyatride travma sonrası ne yapab...
 
Babil Kulesinden Picasso'ya: Sağlık Bilişiminde birbirini anlamak
Babil Kulesinden Picasso'ya: Sağlık Bilişiminde birbirini anlamak Babil Kulesinden Picasso'ya: Sağlık Bilişiminde birbirini anlamak
Babil Kulesinden Picasso'ya: Sağlık Bilişiminde birbirini anlamak
 
Zihin Beden Dichotomy
Zihin Beden Dichotomy Zihin Beden Dichotomy
Zihin Beden Dichotomy
 

Similar to ICD Revision and Primary Care Versions

Utility and Added Value of Classifications in Health Information Systems
Utility and Added Value of Classifications in Health Information SystemsUtility and Added Value of Classifications in Health Information Systems
Utility and Added Value of Classifications in Health Information Systems
Bedirhan Ustun
 
AHIMA ICD-10 ICD-11 switch to ICD-10-CM in the USA;
AHIMA ICD-10 ICD-11 switch to ICD-10-CM in the USA; AHIMA ICD-10 ICD-11 switch to ICD-10-CM in the USA;
AHIMA ICD-10 ICD-11 switch to ICD-10-CM in the USA;
Bedirhan Ustun
 
Bev Nicholls - Snowmed - HiNZ Conference 2015
Bev Nicholls - Snowmed - HiNZ Conference 2015Bev Nicholls - Snowmed - HiNZ Conference 2015
Bev Nicholls - Snowmed - HiNZ Conference 2015
Health Informatics New Zealand
 
ICD Revision (Ustun) 2014
ICD Revision (Ustun) 2014ICD Revision (Ustun) 2014
ICD Revision (Ustun) 2014
Bedirhan Ustun
 
Himss12 Meet The Expert
Himss12 Meet The ExpertHimss12 Meet The Expert
Himss12 Meet The Expert
William Kirsh, DO, MPH
 
Standards in health informatics - Problem, clinical models and terminologies
Standards in health informatics - Problem, clinical models and terminologiesStandards in health informatics - Problem, clinical models and terminologies
Standards in health informatics - Problem, clinical models and terminologies
Silje Ljosland Bakke
 
Tokyo 2012 ustun (show)
Tokyo 2012 ustun (show)Tokyo 2012 ustun (show)
Tokyo 2012 ustun (show)
Bedirhan Ustun
 
Challenges in clinical research
Challenges in clinical researchChallenges in clinical research
Challenges in clinical research
scanFOAM
 
ICF - Saglik YetiYitimi ve Islevselligin Siniflandirilmasi
ICF - Saglik YetiYitimi ve Islevselligin SiniflandirilmasiICF - Saglik YetiYitimi ve Islevselligin Siniflandirilmasi
ICF - Saglik YetiYitimi ve Islevselligin Siniflandirilmasi
Bedirhan Ustun
 
Standards in health informatics - problem, clinical models and terminology
Standards in health informatics - problem, clinical models and terminologyStandards in health informatics - problem, clinical models and terminology
Standards in health informatics - problem, clinical models and terminology
Silje Ljosland Bakke
 
eHealth Foundations: Can openEHR Provide One Layer?
eHealth Foundations: Can openEHR Provide One Layer?eHealth Foundations: Can openEHR Provide One Layer?
eHealth Foundations: Can openEHR Provide One Layer?
Health Informatics New Zealand
 
MI 224: International Classification for Primary Care
MI 224: International Classification for Primary CareMI 224: International Classification for Primary Care
MI 224: International Classification for Primary Care
Roy Dahildahil
 
2010 06 - LOINC-ICF
2010 06 - LOINC-ICF2010 06 - LOINC-ICF
2010 06 - LOINC-ICF
dvreeman
 
Master Class on EMR/EHR Standards by Baljit Singh Bedi,
Master Class on EMR/EHR Standards by Baljit Singh Bedi,Master Class on EMR/EHR Standards by Baljit Singh Bedi,
Master Class on EMR/EHR Standards by Baljit Singh Bedi,
Apollo Hospitals Group and ATNF
 
iHT2 Health IT Summit San Francisco 2013 - Christopher Chute, Division of Bio...
iHT2 Health IT Summit San Francisco 2013 - Christopher Chute, Division of Bio...iHT2 Health IT Summit San Francisco 2013 - Christopher Chute, Division of Bio...
iHT2 Health IT Summit San Francisco 2013 - Christopher Chute, Division of Bio...
Health IT Conference – iHT2
 
Presentation iwbbio
Presentation iwbbioPresentation iwbbio
Presentation iwbbio
Vicente RIBAS-RIPOLL
 
Expo Day: Baycrest, Lumosity, BrainBaseline & SharpBrains
Expo Day: Baycrest, Lumosity, BrainBaseline & SharpBrainsExpo Day: Baycrest, Lumosity, BrainBaseline & SharpBrains
Expo Day: Baycrest, Lumosity, BrainBaseline & SharpBrains
SharpBrains
 
Clinical Healthcare Data Analytics
Clinical Healthcare Data AnalyticsClinical Healthcare Data Analytics
Clinical Healthcare Data Analytics
dansouk
 
National Workshop to Advance Use of Electronic Data
National Workshop to Advance Use of Electronic DataNational Workshop to Advance Use of Electronic Data
National Workshop to Advance Use of Electronic Data
Patient-Centered Outcomes Research Institute
 

Similar to ICD Revision and Primary Care Versions (20)

Utility and Added Value of Classifications in Health Information Systems
Utility and Added Value of Classifications in Health Information SystemsUtility and Added Value of Classifications in Health Information Systems
Utility and Added Value of Classifications in Health Information Systems
 
AHIMA ICD-10 ICD-11 switch to ICD-10-CM in the USA;
AHIMA ICD-10 ICD-11 switch to ICD-10-CM in the USA; AHIMA ICD-10 ICD-11 switch to ICD-10-CM in the USA;
AHIMA ICD-10 ICD-11 switch to ICD-10-CM in the USA;
 
Bev Nicholls - Snowmed - HiNZ Conference 2015
Bev Nicholls - Snowmed - HiNZ Conference 2015Bev Nicholls - Snowmed - HiNZ Conference 2015
Bev Nicholls - Snowmed - HiNZ Conference 2015
 
ICD Revision (Ustun) 2014
ICD Revision (Ustun) 2014ICD Revision (Ustun) 2014
ICD Revision (Ustun) 2014
 
Himss12 Meet The Expert
Himss12 Meet The ExpertHimss12 Meet The Expert
Himss12 Meet The Expert
 
Standards in health informatics - Problem, clinical models and terminologies
Standards in health informatics - Problem, clinical models and terminologiesStandards in health informatics - Problem, clinical models and terminologies
Standards in health informatics - Problem, clinical models and terminologies
 
Tokyo 2012 ustun (show)
Tokyo 2012 ustun (show)Tokyo 2012 ustun (show)
Tokyo 2012 ustun (show)
 
Challenges in clinical research
Challenges in clinical researchChallenges in clinical research
Challenges in clinical research
 
ICF - Saglik YetiYitimi ve Islevselligin Siniflandirilmasi
ICF - Saglik YetiYitimi ve Islevselligin SiniflandirilmasiICF - Saglik YetiYitimi ve Islevselligin Siniflandirilmasi
ICF - Saglik YetiYitimi ve Islevselligin Siniflandirilmasi
 
Standards in health informatics - problem, clinical models and terminology
Standards in health informatics - problem, clinical models and terminologyStandards in health informatics - problem, clinical models and terminology
Standards in health informatics - problem, clinical models and terminology
 
eHealth Foundations: Can openEHR Provide One Layer?
eHealth Foundations: Can openEHR Provide One Layer?eHealth Foundations: Can openEHR Provide One Layer?
eHealth Foundations: Can openEHR Provide One Layer?
 
MI 224: International Classification for Primary Care
MI 224: International Classification for Primary CareMI 224: International Classification for Primary Care
MI 224: International Classification for Primary Care
 
2010 06 - LOINC-ICF
2010 06 - LOINC-ICF2010 06 - LOINC-ICF
2010 06 - LOINC-ICF
 
Master Class on EMR/EHR Standards by Baljit Singh Bedi,
Master Class on EMR/EHR Standards by Baljit Singh Bedi,Master Class on EMR/EHR Standards by Baljit Singh Bedi,
Master Class on EMR/EHR Standards by Baljit Singh Bedi,
 
iHT2 Health IT Summit San Francisco 2013 - Christopher Chute, Division of Bio...
iHT2 Health IT Summit San Francisco 2013 - Christopher Chute, Division of Bio...iHT2 Health IT Summit San Francisco 2013 - Christopher Chute, Division of Bio...
iHT2 Health IT Summit San Francisco 2013 - Christopher Chute, Division of Bio...
 
Presentation iwbbio
Presentation iwbbioPresentation iwbbio
Presentation iwbbio
 
Expo Day: Baycrest, Lumosity, BrainBaseline & SharpBrains
Expo Day: Baycrest, Lumosity, BrainBaseline & SharpBrainsExpo Day: Baycrest, Lumosity, BrainBaseline & SharpBrains
Expo Day: Baycrest, Lumosity, BrainBaseline & SharpBrains
 
Clinical Healthcare Data Analytics
Clinical Healthcare Data AnalyticsClinical Healthcare Data Analytics
Clinical Healthcare Data Analytics
 
National Workshop to Advance Use of Electronic Data
National Workshop to Advance Use of Electronic DataNational Workshop to Advance Use of Electronic Data
National Workshop to Advance Use of Electronic Data
 
HStrategies
HStrategiesHStrategies
HStrategies
 

More from Bedirhan Ustun

Doktor Kimliği: Biz Kimiz?
Doktor Kimliği: Biz Kimiz? Doktor Kimliği: Biz Kimiz?
Doktor Kimliği: Biz Kimiz?
Bedirhan Ustun
 
Arastirmaci tarafindan Baslatilan Arastirmalarda larda ortak veri standartlar...
Arastirmaci tarafindan Baslatilan Arastirmalarda larda ortak veri standartlar...Arastirmaci tarafindan Baslatilan Arastirmalarda larda ortak veri standartlar...
Arastirmaci tarafindan Baslatilan Arastirmalarda larda ortak veri standartlar...
Bedirhan Ustun
 
Hastane bilgi yonetimi sistemleri
Hastane bilgi yonetimi sistemleriHastane bilgi yonetimi sistemleri
Hastane bilgi yonetimi sistemleri
Bedirhan Ustun
 
Elektronik Sağlık Kayıtlarında Hasta Mahremiyeti ve Etik Sorunlar
Elektronik Sağlık Kayıtlarında Hasta Mahremiyeti ve  Etik SorunlarElektronik Sağlık Kayıtlarında Hasta Mahremiyeti ve  Etik Sorunlar
Elektronik Sağlık Kayıtlarında Hasta Mahremiyeti ve Etik Sorunlar
Bedirhan Ustun
 
2017 Depression and Culture: Etic or Emic ? Can Memetics help?
2017 Depression and Culture:  Etic or Emic ? Can Memetics help?2017 Depression and Culture:  Etic or Emic ? Can Memetics help?
2017 Depression and Culture: Etic or Emic ? Can Memetics help?
Bedirhan Ustun
 
Big Data: Impact on Global Health and Clinical Decision Making
Big Data: Impact on Global Health and Clinical Decision MakingBig Data: Impact on Global Health and Clinical Decision Making
Big Data: Impact on Global Health and Clinical Decision Making
Bedirhan Ustun
 
Kisisel Saglik Verileri: Elektronik Saglik Kayitlarinda Guvenlik
Kisisel Saglik Verileri:  Elektronik Saglik Kayitlarinda GuvenlikKisisel Saglik Verileri:  Elektronik Saglik Kayitlarinda Guvenlik
Kisisel Saglik Verileri: Elektronik Saglik Kayitlarinda Guvenlik
Bedirhan Ustun
 
Ustun 2017 ethical legal issues in psychiatry
Ustun 2017 ethical legal issues in psychiatryUstun 2017 ethical legal issues in psychiatry
Ustun 2017 ethical legal issues in psychiatry
Bedirhan Ustun
 
Ustun 2017 doctor patient relationship
Ustun 2017 doctor patient relationshipUstun 2017 doctor patient relationship
Ustun 2017 doctor patient relationship
Bedirhan Ustun
 
Personality and Personality Disorders: Medical Lecture on fundamentals
Personality and Personality Disorders: Medical Lecture on fundamentalsPersonality and Personality Disorders: Medical Lecture on fundamentals
Personality and Personality Disorders: Medical Lecture on fundamentals
Bedirhan Ustun
 
State of WHO FIC 2014
State of WHO FIC  2014State of WHO FIC  2014
State of WHO FIC 2014
Bedirhan Ustun
 
Defining, classifying and measuring functioning and disability in DSM5
Defining,  classifying and measuring functioning and disability in DSM5Defining,  classifying and measuring functioning and disability in DSM5
Defining, classifying and measuring functioning and disability in DSM5
Bedirhan Ustun
 
What is health information?
What is health information? What is health information?
What is health information?
Bedirhan Ustun
 
Working at the World Health Organization: Bill of Staff Member Rights
Working at the World Health Organization: Bill of  Staff Member RightsWorking at the World Health Organization: Bill of  Staff Member Rights
Working at the World Health Organization: Bill of Staff Member Rights
Bedirhan Ustun
 

More from Bedirhan Ustun (14)

Doktor Kimliği: Biz Kimiz?
Doktor Kimliği: Biz Kimiz? Doktor Kimliği: Biz Kimiz?
Doktor Kimliği: Biz Kimiz?
 
Arastirmaci tarafindan Baslatilan Arastirmalarda larda ortak veri standartlar...
Arastirmaci tarafindan Baslatilan Arastirmalarda larda ortak veri standartlar...Arastirmaci tarafindan Baslatilan Arastirmalarda larda ortak veri standartlar...
Arastirmaci tarafindan Baslatilan Arastirmalarda larda ortak veri standartlar...
 
Hastane bilgi yonetimi sistemleri
Hastane bilgi yonetimi sistemleriHastane bilgi yonetimi sistemleri
Hastane bilgi yonetimi sistemleri
 
Elektronik Sağlık Kayıtlarında Hasta Mahremiyeti ve Etik Sorunlar
Elektronik Sağlık Kayıtlarında Hasta Mahremiyeti ve  Etik SorunlarElektronik Sağlık Kayıtlarında Hasta Mahremiyeti ve  Etik Sorunlar
Elektronik Sağlık Kayıtlarında Hasta Mahremiyeti ve Etik Sorunlar
 
2017 Depression and Culture: Etic or Emic ? Can Memetics help?
2017 Depression and Culture:  Etic or Emic ? Can Memetics help?2017 Depression and Culture:  Etic or Emic ? Can Memetics help?
2017 Depression and Culture: Etic or Emic ? Can Memetics help?
 
Big Data: Impact on Global Health and Clinical Decision Making
Big Data: Impact on Global Health and Clinical Decision MakingBig Data: Impact on Global Health and Clinical Decision Making
Big Data: Impact on Global Health and Clinical Decision Making
 
Kisisel Saglik Verileri: Elektronik Saglik Kayitlarinda Guvenlik
Kisisel Saglik Verileri:  Elektronik Saglik Kayitlarinda GuvenlikKisisel Saglik Verileri:  Elektronik Saglik Kayitlarinda Guvenlik
Kisisel Saglik Verileri: Elektronik Saglik Kayitlarinda Guvenlik
 
Ustun 2017 ethical legal issues in psychiatry
Ustun 2017 ethical legal issues in psychiatryUstun 2017 ethical legal issues in psychiatry
Ustun 2017 ethical legal issues in psychiatry
 
Ustun 2017 doctor patient relationship
Ustun 2017 doctor patient relationshipUstun 2017 doctor patient relationship
Ustun 2017 doctor patient relationship
 
Personality and Personality Disorders: Medical Lecture on fundamentals
Personality and Personality Disorders: Medical Lecture on fundamentalsPersonality and Personality Disorders: Medical Lecture on fundamentals
Personality and Personality Disorders: Medical Lecture on fundamentals
 
State of WHO FIC 2014
State of WHO FIC  2014State of WHO FIC  2014
State of WHO FIC 2014
 
Defining, classifying and measuring functioning and disability in DSM5
Defining,  classifying and measuring functioning and disability in DSM5Defining,  classifying and measuring functioning and disability in DSM5
Defining, classifying and measuring functioning and disability in DSM5
 
What is health information?
What is health information? What is health information?
What is health information?
 
Working at the World Health Organization: Bill of Staff Member Rights
Working at the World Health Organization: Bill of  Staff Member RightsWorking at the World Health Organization: Bill of  Staff Member Rights
Working at the World Health Organization: Bill of Staff Member Rights
 

Recently uploaded

Haridwar ❤CALL Girls 🔝 89011★83002 🔝 ❤ℂall Girls IN Haridwar ESCORT SERVICE❤
Haridwar ❤CALL Girls 🔝 89011★83002 🔝 ❤ℂall Girls IN Haridwar ESCORT SERVICE❤Haridwar ❤CALL Girls 🔝 89011★83002 🔝 ❤ℂall Girls IN Haridwar ESCORT SERVICE❤
Haridwar ❤CALL Girls 🔝 89011★83002 🔝 ❤ℂall Girls IN Haridwar ESCORT SERVICE❤
ranishasharma67
 
Immunity to Veterinary parasitic infections power point presentation
Immunity to Veterinary parasitic infections power point presentationImmunity to Veterinary parasitic infections power point presentation
Immunity to Veterinary parasitic infections power point presentation
BeshedaWedajo
 
HEAT WAVE presented by priya bhojwani..pptx
HEAT WAVE presented by priya bhojwani..pptxHEAT WAVE presented by priya bhojwani..pptx
HEAT WAVE presented by priya bhojwani..pptx
priyabhojwani1200
 
Artificial Intelligence to Optimize Cardiovascular Therapy
Artificial Intelligence to Optimize Cardiovascular TherapyArtificial Intelligence to Optimize Cardiovascular Therapy
Artificial Intelligence to Optimize Cardiovascular Therapy
Iris Thiele Isip-Tan
 
Anatomy and Physiology Chapter-16_Digestive-System.pptx
Anatomy and Physiology Chapter-16_Digestive-System.pptxAnatomy and Physiology Chapter-16_Digestive-System.pptx
Anatomy and Physiology Chapter-16_Digestive-System.pptx
shanicedivinagracia2
 
Antibiotic Stewardship by Anushri Srivastava.pptx
Antibiotic Stewardship by Anushri Srivastava.pptxAntibiotic Stewardship by Anushri Srivastava.pptx
Antibiotic Stewardship by Anushri Srivastava.pptx
AnushriSrivastav
 
CHAPTER 1 SEMESTER V - ROLE OF PEADIATRIC NURSE.pdf
CHAPTER 1 SEMESTER V - ROLE OF PEADIATRIC NURSE.pdfCHAPTER 1 SEMESTER V - ROLE OF PEADIATRIC NURSE.pdf
CHAPTER 1 SEMESTER V - ROLE OF PEADIATRIC NURSE.pdf
Sachin Sharma
 
GLOBAL WARMING BY PRIYA BHOJWANI @..pptx
GLOBAL WARMING BY PRIYA BHOJWANI @..pptxGLOBAL WARMING BY PRIYA BHOJWANI @..pptx
GLOBAL WARMING BY PRIYA BHOJWANI @..pptx
priyabhojwani1200
 
💘Ludhiana ℂall Girls 📞]][89011★83002][[ 📱 ❤ESCORTS service in Ludhiana💃💦Ludhi...
💘Ludhiana ℂall Girls 📞]][89011★83002][[ 📱 ❤ESCORTS service in Ludhiana💃💦Ludhi...💘Ludhiana ℂall Girls 📞]][89011★83002][[ 📱 ❤ESCORTS service in Ludhiana💃💦Ludhi...
💘Ludhiana ℂall Girls 📞]][89011★83002][[ 📱 ❤ESCORTS service in Ludhiana💃💦Ludhi...
ranishasharma67
 
Deepfake Detection_Using Machine Learning .pptx
Deepfake Detection_Using Machine Learning .pptxDeepfake Detection_Using Machine Learning .pptx
Deepfake Detection_Using Machine Learning .pptx
mahalsuraj389
 
POLYCYSTIC OVARIAN SYNDROME (PCOS)......
POLYCYSTIC OVARIAN SYNDROME (PCOS)......POLYCYSTIC OVARIAN SYNDROME (PCOS)......
POLYCYSTIC OVARIAN SYNDROME (PCOS)......
Ameena Kadar
 
Jaipur ❤cALL gIRLS 89O1183002 ❤ℂall Girls IN JaiPuR ESCORT SERVICE
Jaipur ❤cALL gIRLS 89O1183002 ❤ℂall Girls IN JaiPuR ESCORT SERVICEJaipur ❤cALL gIRLS 89O1183002 ❤ℂall Girls IN JaiPuR ESCORT SERVICE
Jaipur ❤cALL gIRLS 89O1183002 ❤ℂall Girls IN JaiPuR ESCORT SERVICE
ranishasharma67
 
VVIP Dehradun Girls 9719300533 Heat-bake { Dehradun } Genteel ℂall Serviℂe By...
VVIP Dehradun Girls 9719300533 Heat-bake { Dehradun } Genteel ℂall Serviℂe By...VVIP Dehradun Girls 9719300533 Heat-bake { Dehradun } Genteel ℂall Serviℂe By...
VVIP Dehradun Girls 9719300533 Heat-bake { Dehradun } Genteel ℂall Serviℂe By...
rajkumar669520
 
GENERAL PHARMACOLOGY - INTRODUCTION DENTAL.ppt
GENERAL PHARMACOLOGY - INTRODUCTION DENTAL.pptGENERAL PHARMACOLOGY - INTRODUCTION DENTAL.ppt
GENERAL PHARMACOLOGY - INTRODUCTION DENTAL.ppt
Mangaiarkkarasi
 
Dehradun ❤CALL Girls 8901183002 ❤ℂall Girls IN Dehradun ESCORT SERVICE❤
Dehradun ❤CALL Girls  8901183002 ❤ℂall  Girls IN Dehradun ESCORT SERVICE❤Dehradun ❤CALL Girls  8901183002 ❤ℂall  Girls IN Dehradun ESCORT SERVICE❤
Dehradun ❤CALL Girls 8901183002 ❤ℂall Girls IN Dehradun ESCORT SERVICE❤
aunty1x2
 
Roti bank chennai PPT [Autosaved].pptx1
Roti bank  chennai PPT [Autosaved].pptx1Roti bank  chennai PPT [Autosaved].pptx1
Roti bank chennai PPT [Autosaved].pptx1
roti bank
 
Myopia Management & Control Strategies.pptx
Myopia Management & Control Strategies.pptxMyopia Management & Control Strategies.pptx
Myopia Management & Control Strategies.pptx
RitonDeb1
 
Demystifying-Gene-Editing-The-Promise-and-Peril-of-CRISPR.pdf
Demystifying-Gene-Editing-The-Promise-and-Peril-of-CRISPR.pdfDemystifying-Gene-Editing-The-Promise-and-Peril-of-CRISPR.pdf
Demystifying-Gene-Editing-The-Promise-and-Peril-of-CRISPR.pdf
SasikiranMarri
 
Secret Tantric VIP Erotic Massage London
Secret Tantric VIP Erotic Massage LondonSecret Tantric VIP Erotic Massage London
Secret Tantric VIP Erotic Massage London
Secret Tantric - VIP Erotic Massage London
 
R3 Stem Cells and Kidney Repair A New Horizon in Nephrology.pptx
R3 Stem Cells and Kidney Repair A New Horizon in Nephrology.pptxR3 Stem Cells and Kidney Repair A New Horizon in Nephrology.pptx
R3 Stem Cells and Kidney Repair A New Horizon in Nephrology.pptx
R3 Stem Cell
 

Recently uploaded (20)

Haridwar ❤CALL Girls 🔝 89011★83002 🔝 ❤ℂall Girls IN Haridwar ESCORT SERVICE❤
Haridwar ❤CALL Girls 🔝 89011★83002 🔝 ❤ℂall Girls IN Haridwar ESCORT SERVICE❤Haridwar ❤CALL Girls 🔝 89011★83002 🔝 ❤ℂall Girls IN Haridwar ESCORT SERVICE❤
Haridwar ❤CALL Girls 🔝 89011★83002 🔝 ❤ℂall Girls IN Haridwar ESCORT SERVICE❤
 
Immunity to Veterinary parasitic infections power point presentation
Immunity to Veterinary parasitic infections power point presentationImmunity to Veterinary parasitic infections power point presentation
Immunity to Veterinary parasitic infections power point presentation
 
HEAT WAVE presented by priya bhojwani..pptx
HEAT WAVE presented by priya bhojwani..pptxHEAT WAVE presented by priya bhojwani..pptx
HEAT WAVE presented by priya bhojwani..pptx
 
Artificial Intelligence to Optimize Cardiovascular Therapy
Artificial Intelligence to Optimize Cardiovascular TherapyArtificial Intelligence to Optimize Cardiovascular Therapy
Artificial Intelligence to Optimize Cardiovascular Therapy
 
Anatomy and Physiology Chapter-16_Digestive-System.pptx
Anatomy and Physiology Chapter-16_Digestive-System.pptxAnatomy and Physiology Chapter-16_Digestive-System.pptx
Anatomy and Physiology Chapter-16_Digestive-System.pptx
 
Antibiotic Stewardship by Anushri Srivastava.pptx
Antibiotic Stewardship by Anushri Srivastava.pptxAntibiotic Stewardship by Anushri Srivastava.pptx
Antibiotic Stewardship by Anushri Srivastava.pptx
 
CHAPTER 1 SEMESTER V - ROLE OF PEADIATRIC NURSE.pdf
CHAPTER 1 SEMESTER V - ROLE OF PEADIATRIC NURSE.pdfCHAPTER 1 SEMESTER V - ROLE OF PEADIATRIC NURSE.pdf
CHAPTER 1 SEMESTER V - ROLE OF PEADIATRIC NURSE.pdf
 
GLOBAL WARMING BY PRIYA BHOJWANI @..pptx
GLOBAL WARMING BY PRIYA BHOJWANI @..pptxGLOBAL WARMING BY PRIYA BHOJWANI @..pptx
GLOBAL WARMING BY PRIYA BHOJWANI @..pptx
 
💘Ludhiana ℂall Girls 📞]][89011★83002][[ 📱 ❤ESCORTS service in Ludhiana💃💦Ludhi...
💘Ludhiana ℂall Girls 📞]][89011★83002][[ 📱 ❤ESCORTS service in Ludhiana💃💦Ludhi...💘Ludhiana ℂall Girls 📞]][89011★83002][[ 📱 ❤ESCORTS service in Ludhiana💃💦Ludhi...
💘Ludhiana ℂall Girls 📞]][89011★83002][[ 📱 ❤ESCORTS service in Ludhiana💃💦Ludhi...
 
Deepfake Detection_Using Machine Learning .pptx
Deepfake Detection_Using Machine Learning .pptxDeepfake Detection_Using Machine Learning .pptx
Deepfake Detection_Using Machine Learning .pptx
 
POLYCYSTIC OVARIAN SYNDROME (PCOS)......
POLYCYSTIC OVARIAN SYNDROME (PCOS)......POLYCYSTIC OVARIAN SYNDROME (PCOS)......
POLYCYSTIC OVARIAN SYNDROME (PCOS)......
 
Jaipur ❤cALL gIRLS 89O1183002 ❤ℂall Girls IN JaiPuR ESCORT SERVICE
Jaipur ❤cALL gIRLS 89O1183002 ❤ℂall Girls IN JaiPuR ESCORT SERVICEJaipur ❤cALL gIRLS 89O1183002 ❤ℂall Girls IN JaiPuR ESCORT SERVICE
Jaipur ❤cALL gIRLS 89O1183002 ❤ℂall Girls IN JaiPuR ESCORT SERVICE
 
VVIP Dehradun Girls 9719300533 Heat-bake { Dehradun } Genteel ℂall Serviℂe By...
VVIP Dehradun Girls 9719300533 Heat-bake { Dehradun } Genteel ℂall Serviℂe By...VVIP Dehradun Girls 9719300533 Heat-bake { Dehradun } Genteel ℂall Serviℂe By...
VVIP Dehradun Girls 9719300533 Heat-bake { Dehradun } Genteel ℂall Serviℂe By...
 
GENERAL PHARMACOLOGY - INTRODUCTION DENTAL.ppt
GENERAL PHARMACOLOGY - INTRODUCTION DENTAL.pptGENERAL PHARMACOLOGY - INTRODUCTION DENTAL.ppt
GENERAL PHARMACOLOGY - INTRODUCTION DENTAL.ppt
 
Dehradun ❤CALL Girls 8901183002 ❤ℂall Girls IN Dehradun ESCORT SERVICE❤
Dehradun ❤CALL Girls  8901183002 ❤ℂall  Girls IN Dehradun ESCORT SERVICE❤Dehradun ❤CALL Girls  8901183002 ❤ℂall  Girls IN Dehradun ESCORT SERVICE❤
Dehradun ❤CALL Girls 8901183002 ❤ℂall Girls IN Dehradun ESCORT SERVICE❤
 
Roti bank chennai PPT [Autosaved].pptx1
Roti bank  chennai PPT [Autosaved].pptx1Roti bank  chennai PPT [Autosaved].pptx1
Roti bank chennai PPT [Autosaved].pptx1
 
Myopia Management & Control Strategies.pptx
Myopia Management & Control Strategies.pptxMyopia Management & Control Strategies.pptx
Myopia Management & Control Strategies.pptx
 
Demystifying-Gene-Editing-The-Promise-and-Peril-of-CRISPR.pdf
Demystifying-Gene-Editing-The-Promise-and-Peril-of-CRISPR.pdfDemystifying-Gene-Editing-The-Promise-and-Peril-of-CRISPR.pdf
Demystifying-Gene-Editing-The-Promise-and-Peril-of-CRISPR.pdf
 
Secret Tantric VIP Erotic Massage London
Secret Tantric VIP Erotic Massage LondonSecret Tantric VIP Erotic Massage London
Secret Tantric VIP Erotic Massage London
 
R3 Stem Cells and Kidney Repair A New Horizon in Nephrology.pptx
R3 Stem Cells and Kidney Repair A New Horizon in Nephrology.pptxR3 Stem Cells and Kidney Repair A New Horizon in Nephrology.pptx
R3 Stem Cells and Kidney Repair A New Horizon in Nephrology.pptx
 

ICD Revision and Primary Care Versions

  • 1. Dr. T. Bedirhan Üstün World Health Organization Classifications, Terminologies, Standards WHO on ICD and Health Information
  • 2. KEY MESSAGES: 1. ICD-11 should be simplified 2. ICD-11 should be computerized 3. ICD-11 should be fit for purpose 4. ICD-11 should be easy to teach, implement 5. ICD-11 should speak the same language in PC and Specialty  All efforts on ICD-10 and ICD-11 should converge
  • 4. Shepherding simple requirements 1. Count your sheep • How many born ? • How many dead ?
  • 5. Reporting of Mortality in the World Source WHO 2014
  • 7.
  • 8.
  • 10. Shepherding simple requirements 1. Count your sheep • How many born ? • How many dead ? 2. Don’t cry wolf !
  • 11. Genealogy of ICD  1664 350 years
  • 13. Placing WHO Classifications in HIS & IT Population Health • Births • Deaths • Diseases • Disability • Risk factors e-Health Record Systems ICD ICF ICHI Classifications Linkages KRs Terminologies Clinical • Decision Support • Integration of care • Outcome Administration • Scheduling • Resources • Billing Reporting • Cost • Needs • Outcome
  • 14. ICD-11 Revision Goals 1. 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
  • 15. Construction of ICD-10: Revision Process in 20th Century • 8 Annual Revision Conferences (1982 - 89) • 17 – 58 Countries participated • 1- 5 person delegation • Manual curation • List exchange • Index was done later • "Decibel" ? Method of discussion • Output: Paper Copy • Work in English only • Limited testing in the field
  • 16. Construction of ICD-11: Revision Process in the 21st Century • Internet-based permanent platform • All year round • Open to all people in a structured way • Content experts focus • Digital curation • Wiki enabled collaboration • Ontology based • Enhanced discussion & peer review • TAGs serve as the editorial group • Electronic copy  print version • Work in multiple languages • Planned field tests • Based on Use Cases
  • 17. How do we go from Here to 21st Century?
  • 18. 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 • …
  • 19. Knowledge Representation the triad of things, thoughts and words (Ogden & Richards, 1923 ) APPLE TERM
  • 20. Ontology (philosophy) – the Organization of Reality  Ontology (computer science) – the explicit – operational description of the conceptualization of a domain: 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 Ontology?
  • 21. • Open and Collaborative Platform • Web based • Like WIKI • But • by the Content Model • with • by the TAGs , and scientific peers
  • 22. ICD11 βeta • http://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
  • 23. 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, songs, lego pieces.
  • 24. 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
  • 25. 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
  • 26.
  • 27.
  • 28.
  • 30. Linearizations: PC short PC Intermediate JLMMS
  • 31. Title Primary C. Joint Lin. Ophthalm. Cataract code code code Age-related cataract code code code Cortical age-related cataract other other code Nuclear age-related cataract other other code Cataracta brunescens other other code Nuclear sclerosis cataract other other code Capsular and Subcapsular age-related cataract other other code Capsular age-related cataract other other code Anterior subcapsular polar age-related cataract other other code Posterior subcapsular polar age-related cataract other other code Incipient age-related cataract other other code Coronary age-related cataract other code code Punctate age-related cataract other code code Water clefts other other code Advanced or mature age-related cataract other other code Mature age-related cataract other code code Subtotal advanced or mature age-related cataract other other code Advanced or mature age-related cataract, total cataract other other code Morgagnian age-related cataract other other code Calcified age-related cataract other other code Combined forms of age-related cataract other other code DIGITAL ZOOMING
  • 32. APN Hamamatsu Meeting - 2009 1. A Primary Care classification must be short and simple. 2. There should be no redundancy between coding systems. ICD-11 and ICPC should be compatible. 3. Classification rubrics in primary care are heterogeneous ranging from ; there may be many different factors important to each case. There needs to be a proper decision of what factors are to be defined in classification. 4. Primary care does not exist on its own, but within an overall health system. Primary care should not be approached as if there is no secondary or tertiary care. This must be considered when designing the PC Classifications and appropriate collaboration systems built between primary, secondary and tertiary care systems. 5. It is important that Primary Care Classification revision be well coordinated for different types of providers and consumers. There needs to be efficient sharing of information between all stakeholders. 6. The Primary Care Classifications should be based on established terminologies/ontologies. This will be the basis for linking with health records and assuring quality assurance. This underpinning systems will enlight how different coding systems interact with each other. 7. There must be incentives for the users of Primary Care Classification. Primary Care Practitioners will classify if they are given reasons to do so, and classification systems should be developed with this in mind. One incentive for use of the system may be the management guidance. 8. In many countries it is not possible to have a second layer of coders in addition to the practitioners. Methods should be developed for primary care providers allowing code themselves. 9. PC classifications should be tested in the real world to identify issues of feasibility, reliability and these tests should be used to improve their user-friendliness. 10. PC classifications should be of at least two levels of complexity: (a) resource poor settings; (b) resource rich settings.. PC Classification systems should be usable electronically and on paper.
  • 33. Inpatients Outpatients PHC - Recognized PHC - Attenders The Community Where Do People Seek Help ? 1 5 25 50 100
  • 34. Data Collected But Not Used
  • 35. the information YOU - ₋ have is not what you want ₋ want is not what you need ₋ need is not what you can have Finagle's Law of Information have want need In other words there is always a gap between what you have, need or want
  • 36. Halfdan Mahler WHO Director General. 1973-1988 ICD can only be a door stopper in Primary Care
  • 37. PHC … RENEWAL … NEW WAYS WHO-FIC in Primary Care • WHO FIC elements are not currently suitable for use in primary care: • They are complex, • Too detailed • No reward to the user. • WHOFIC for Primary Care should be • Concise • Focused on frequent and important conditions in Primary Care • Should be treatable in Primary Care • Providers should be able to code the information.
  • 39. ICD-10 PC for Mental Health Diagnostic Guidelines • Presenting Complaints • Diagnostic Criteria • Differential Diagnosis Management Guidelines • What to say to patient and family • What sort of psychological counseling • Prescription: what, when, how ...? • When and how to refer a specialist
  • 40.
  • 41. Future work • Selection criteria for ICD categories • ICF-PC  disability categories • ICHI-PC  intervention categories • Signs - symptoms (Chapter R) • Contextual factors (Chapter Z) • Reason for Encounter use • Other …
  • 42. CLASSIFICATIONS … BUILDING BLOCKS OF HEALTH INFORMATION … EVALUATION: Do Classifications increase ... • … recognition ? • … diagnosis ? • … accuracy of diagnosis? • … treatment ? — prescription ? — compliance ? • … referral ? • … outcome ? • … patient satisfaction ?
  • 43. Primary Care Classifications • Comprehensive - not a single chapter-oriented • Brief - yet covering all common disorders • User-friendly and flexible with different modules • Emphasis on Doctor-Patient relationship • Management-oriented “Treatment Guidelines” ? • Dual function: used both for training and in daily practice • Culture-oriented: can be applied in many different cultures • extensive implementation and evaluation process • endorsed by WHO, WONCA, APN and multiple parties • Creating a network (or integrating into existing ones) between primary care physicians and psychiatrists.
  • 44. Real Time Public Health Rule-based Aggregation @ Individual, Facility, Population levels Public Health, Epi & Surveillance Findings InterventionsEvents Clinical Information Reimbursement Resource Management
  • 45. PHC … RENEWAL … NEW WAYS Every programme, project, partner has a separate M&E plan Every M&E plan focuses on indicators but not on the system for generating them Need for Integration
  • 46. Clinical Use Case: Exploration of Cough Fever 386661006 COUGH 49727002 WET COUGH sputum 28743005 Hemoptisia Blood in Sputum 207069003 • X-ray : Tbc? • Culture 399208008 104184002 • Diagnosis: Tuberculosis 154283005 A 15.0 • Treatment: DOTs { 324453004 }
  • 47. From David Werner and David Sanders. Questioning the Solution. The Politics of Primary Health Care and Child Survival with an in-depth critique of Oral Rehydratation Therapy. Palo Alto: Health Rights, 1997. The Power of ORS
  • 48. Why is this Sooooo important ?
  • 50. Beyond • Search using Concepts above Words • How many patients do have diabetes mellitus type II? • Extraction of Concepts from Health Records • Automated extraction of HbA1c 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 50
  • 51. Grade 3 hypertension Grade 2 hypertension Grade 1 hypertension High normal normal optimal 120 130 140 150 160 170 180 Systolic pressure Diastolicpressure 172 102 110 105 100 95 90 85 80 Knowledge Representation 51
  • 52. Uniform Resource Identifiers URI: //id.who.int/…. • enable links to other established terminology, ontologies • allow impact analysis possible via W3C • e.g. where on the world these are used or not used • Useful for translations: • the concepts will indicate a language-independent construct and translations will refer to the unique source concept.
  • 53. Current Status • Frozen June 2015 • iCAT continues real time… BROWSER • JLMMS is frozen for review • Definitions • Top level > 75 % ~ 10,000 definitions • Linearization errors < 344 (from 10K) • Duplicates < 651 (from 3K)
  • 54. • 2015 : Beta version & Field Trials Version (June /September 15) • 2016 : World Health Assembly Information Presentation Field trials • 2018 : Final version for WHA Approval • 2018+ implementation • Continuous Annual Cycles • ICD 2019 • ICD 2020 • ICD 2021 ICD-11 Timeline
  • 58. Transcoding tables ICD-10 to ICD-11 in excel
  • 59. ICD-10 ICD-11 correspondence • 3 character – 1183 (w/o ECI & Residuals) • 951 Equivalent • 191 mapped to a larger entity in 11 • with post coordination many have equivalent maps • 41 not mapped • 4 character - 6635 • 4343 Equivalent • 2207 mapped to a larger entity in 11 • with post coordination many have equivalent maps • 85 not mapped
  • 63. PHC … RENEWAL … NEW WAYS ICPC within WHO-FIC
  • 65. What do we do with our “time” ?
  • 66. Global Village … It takes a village… It takes the whole globe to share data