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Healthcare Knowledge Modelling
      Projects for Multilevel-Based
           Information Systems


Dra. Luciana Tricai Cavalini, MD, MSc, PhD
“Multilevel Healthcare Information Modeling”
Laboratory – Associated to INCT-MACC
UFF/UERJ
What do the citizens want?
• “How do you provide to me:      • And better still:
  ▫   Safe                           ▫ Prevent me getting ill
  ▫   Effective                      ▫ And don’t harm me in the
  ▫   Reproducible                     process”
  ▫   State-of-the-art
  ▫   21st Century medicine
  ▫   Wherever I am
  ▫   Whatever the time
  ▫   Whatever is wrong with me
Paper
records can’t
handle it
Hardware is not the problem anymore...
...or is it?
No, it is not!
“International Standard paper sizes
should be used”
“Attention is drawn to the
potentialities of the new
methods of mechanical
systems and data processing”
45 years later...
What about software?
Brazilian Healthcare Card

Investment:
•Federal Budget (until 2009) = R$327 million
•Unesco = R$74,3 million
•Total (until 2009) = R$401 million

Equivalent the the Aeolian Park in Bahia:
•90MW (it illuminates a 400,000 inhab city)
•Annual profit estimated in R$41 million
“A Unique Health Identifier alone won't prevent duplicate creation.
Make sure your strategy includes a focus on data quality and
data governance, too.”
                                  Alex Paris, “Why a Unique Health Identifier Falls Short”
*Interoperability*



   - Cough
   -For 3 months
   -Low fever
   -A: TB? Ca?

                                    -Chest X-ray
                                    -Nodule in
-Bronchoalveolar                    Right apex
lavage:
-Bronchogenic
carcinoma
*Interoperability*



   - Cough
   -For 3 months
   -Low fever                    - Cough
   -A: TB? Ca?                                   -Chest X-ray
                                 -For 3 months
                                                 -Nodule in
                                 -Low fever
                                                 Right apex
                                 -A: TB? Ca?
- Cough
                -Chest X-ray
-For 3 months
                -Nodule in
-Low fever
                Right apex
-A: TB? Ca?

-Bronchoalveolar lavage:
-Bronchogenic carcinoma
Interoperability?



 - Cough
 -For 3 months
 -Low fever
 -A: TB? Ca?
  Garage Software
                                         -Chest X-ray
                                         -Nodule in
-Bronchoalveolar                         Right apex
lavage:
-Bronchogenic
                                         HL7v2 Messages
carcinoma

CEN 13606 Extracts
Where is the Context?
Here is the Context!
Traditional Modelling
Single-Level Modelling Issues




   Information is modelled in a way that “serves” the current needs of the healthcare system
   The addition of new concepts or the change of existing concepts implies in re-factoring the whole
    system (re-modelling, re-implementation, re-test, re-distribution)
   High cost, slowness in the integration of new knowledge to the systems etc.
Multilevel Modelling
The MLHIM and openEHR Specifications

• Multilevel (or dual) Modelling: software development and
  knowledge modelling are separated
• The Reference Model is implemented in software
• The knowledge is modelled in Concept Constraint
  Definitions - CCDs (“archetypes” in the openEHR specs)
MLHIM and openEHR Models

                      Your application (EHR, CPOE etc)
MLHIM and openEHR




                           Knowledge Modelling
  specifications




                           (CCDs or Archetypes)


                             Reference Model
FLOSS Available Tools (1)
• Implementations of the Reference Model:
  ▫ 2 Java Implementations by the openEHR Foundation
  ▫ 1 Grails implementation by Pablo Pazos (Uruguay)
  ▫ 1 Python Implementation by the MLHIM Laboratory
  ▫ 1 Ruby Implementation in course by a collaboration between a Japanese
    research group and the MLHIM Laboratory
  ▫ 2 other implementation projects by the MLHIm Laboratory:
       Lua
       C++
http://www.openehr.org
https://launchpad.net/mlhim
https://launchpad.net/oship
http://www.mlhim.org




http://www.oship.org
FLOSS Available Tools (2)
• Archetype Editors (in ADL):
  ▫ Ocean Archetype Editor (Windows-only)
  ▫ LinkEHR (source code by request, there are bugs)
  ▫ LiU Archetype Editor (outdated)
• Templates Editors (in OET, OPT):
  ▫ None (only the proprietary Ocean Template Designer)
• Constraint Definition Designer Project (in XML):
  ▫ Only full-FLOSS and multiplatform tool
  ▫ Combined CCD and Template editor
  ▫ Baseado on Freemind, Plone and other ideas
https://launchpad.net/cdd
FLOSS Available Tools (3)
• Archetype Repository:
  ▫ None (openEHR Foundation’s CKM is proprietary)
• The Healthcare Knowledge Component Repository Project:
  ▫ Repository of the XML Schemas of CCDs
  ▫ Based on Plone 4
  ▫ Functionalities:
      All the famous Plone’s CMS and WFM features
      XML Schema validation
      API to CDD, OSHIP and the Multilevel Authoring for Guidelines (MAG)
https://launchpad.net/hkcr
FLOSS Available Tools (4)
• Terminology and Vocabulary Servers:
  ▫ LexGrid (http://www.lexgrid.org)
  ▫ LexBIG (http://preview.tinyurl.com/29ybeuf)
  ▫ Unified Medical Language System (UMLS)
    (http://www.nlm.nih.gov/research/umls)
http://www.lexgrid.org
http://preview.tinyurl.com/29ybeuf
http://www.nlm.nih.gov/research/umls
Knowledge Modelling (1)
• Our governance model proposes:
  ▫ Openness and transparency in decision making and operational
    procedures
  ▫ Deliberative systems based on universal suffrage and
    representativensess
  ▫ Cost-effective financing models, based on equitable and public
    distribution of resources, including direct funding, collaborative work,
    research and education projects etc.
  ▫ Coordinated and federation principles-based decentralization
Knowledge Modelling(2)
• Our governance model proposes :
  ▫ Preference for the use of validated instruments (including their
    translations) for the development of CCDs
  ▫ Preferential use of knowledge modelling strategies derived from the
    collaborative computing (web based or presential)
  ▫ Knowledge modelling might be based on expert panels in exceptional
    situations
  ▫ Publication of the knowledge modelling artifacts on a public, open access,
    FLOSS-based repository, maintained by the healthcare system
    manager in each one of the three levels of government
My Conclusions
• I think that the path for the development of citizen-centered, longitudinal, semantic
  coherent healthcare information systems is based on this tripod:
   ▫ Multilevel modelling
   ▫ Adoption of standardized terminologies
   ▫ Adoption of a Unique Citizen Identifier
• Emerging countries have some competitive advantages in healthcare IT:
   ▫   Usually, the Big Customer is just one (the government)
   ▫   We are starting almost from scratch
   ▫   Emerging countries are much more FLOSS-friendly
   ▫   All needed tools are available or being developen in FLOSS
• What’s next:
   ▫ Invite more partners to participate (government, academy, industry, third sector, FLOSS
     community)
   ▫ Go to work!
Special Thanks to:
                                  Tim Cook
                               Mike Bainbridge

Thank you!                      Sergio Freire




lutricav@vm.uff.br




Join us:

http://www.mlhim.org
https://launchpad.net/mlhim

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Short presentation IWEEE 2010

  • 1. Healthcare Knowledge Modelling Projects for Multilevel-Based Information Systems Dra. Luciana Tricai Cavalini, MD, MSc, PhD “Multilevel Healthcare Information Modeling” Laboratory – Associated to INCT-MACC UFF/UERJ
  • 2. What do the citizens want? • “How do you provide to me: • And better still: ▫ Safe ▫ Prevent me getting ill ▫ Effective ▫ And don’t harm me in the ▫ Reproducible process” ▫ State-of-the-art ▫ 21st Century medicine ▫ Wherever I am ▫ Whatever the time ▫ Whatever is wrong with me
  • 4. Hardware is not the problem anymore...
  • 6. No, it is not!
  • 7.
  • 8. “International Standard paper sizes should be used”
  • 9. “Attention is drawn to the potentialities of the new methods of mechanical systems and data processing”
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  • 16. Brazilian Healthcare Card Investment: •Federal Budget (until 2009) = R$327 million •Unesco = R$74,3 million •Total (until 2009) = R$401 million Equivalent the the Aeolian Park in Bahia: •90MW (it illuminates a 400,000 inhab city) •Annual profit estimated in R$41 million
  • 17. “A Unique Health Identifier alone won't prevent duplicate creation. Make sure your strategy includes a focus on data quality and data governance, too.” Alex Paris, “Why a Unique Health Identifier Falls Short”
  • 18. *Interoperability* - Cough -For 3 months -Low fever -A: TB? Ca? -Chest X-ray -Nodule in -Bronchoalveolar Right apex lavage: -Bronchogenic carcinoma
  • 19. *Interoperability* - Cough -For 3 months -Low fever - Cough -A: TB? Ca? -Chest X-ray -For 3 months -Nodule in -Low fever Right apex -A: TB? Ca? - Cough -Chest X-ray -For 3 months -Nodule in -Low fever Right apex -A: TB? Ca? -Bronchoalveolar lavage: -Bronchogenic carcinoma
  • 20. Interoperability? - Cough -For 3 months -Low fever -A: TB? Ca? Garage Software -Chest X-ray -Nodule in -Bronchoalveolar Right apex lavage: -Bronchogenic HL7v2 Messages carcinoma CEN 13606 Extracts
  • 21. Where is the Context?
  • 22. Here is the Context!
  • 24. Single-Level Modelling Issues  Information is modelled in a way that “serves” the current needs of the healthcare system  The addition of new concepts or the change of existing concepts implies in re-factoring the whole system (re-modelling, re-implementation, re-test, re-distribution)  High cost, slowness in the integration of new knowledge to the systems etc.
  • 26. The MLHIM and openEHR Specifications • Multilevel (or dual) Modelling: software development and knowledge modelling are separated • The Reference Model is implemented in software • The knowledge is modelled in Concept Constraint Definitions - CCDs (“archetypes” in the openEHR specs)
  • 27. MLHIM and openEHR Models Your application (EHR, CPOE etc) MLHIM and openEHR Knowledge Modelling specifications (CCDs or Archetypes) Reference Model
  • 28. FLOSS Available Tools (1) • Implementations of the Reference Model: ▫ 2 Java Implementations by the openEHR Foundation ▫ 1 Grails implementation by Pablo Pazos (Uruguay) ▫ 1 Python Implementation by the MLHIM Laboratory ▫ 1 Ruby Implementation in course by a collaboration between a Japanese research group and the MLHIM Laboratory ▫ 2 other implementation projects by the MLHIm Laboratory:  Lua  C++
  • 33. FLOSS Available Tools (2) • Archetype Editors (in ADL): ▫ Ocean Archetype Editor (Windows-only) ▫ LinkEHR (source code by request, there are bugs) ▫ LiU Archetype Editor (outdated) • Templates Editors (in OET, OPT): ▫ None (only the proprietary Ocean Template Designer) • Constraint Definition Designer Project (in XML): ▫ Only full-FLOSS and multiplatform tool ▫ Combined CCD and Template editor ▫ Baseado on Freemind, Plone and other ideas
  • 35. FLOSS Available Tools (3) • Archetype Repository: ▫ None (openEHR Foundation’s CKM is proprietary) • The Healthcare Knowledge Component Repository Project: ▫ Repository of the XML Schemas of CCDs ▫ Based on Plone 4 ▫ Functionalities:  All the famous Plone’s CMS and WFM features  XML Schema validation  API to CDD, OSHIP and the Multilevel Authoring for Guidelines (MAG)
  • 37.
  • 38. FLOSS Available Tools (4) • Terminology and Vocabulary Servers: ▫ LexGrid (http://www.lexgrid.org) ▫ LexBIG (http://preview.tinyurl.com/29ybeuf) ▫ Unified Medical Language System (UMLS) (http://www.nlm.nih.gov/research/umls)
  • 42. Knowledge Modelling (1) • Our governance model proposes: ▫ Openness and transparency in decision making and operational procedures ▫ Deliberative systems based on universal suffrage and representativensess ▫ Cost-effective financing models, based on equitable and public distribution of resources, including direct funding, collaborative work, research and education projects etc. ▫ Coordinated and federation principles-based decentralization
  • 43. Knowledge Modelling(2) • Our governance model proposes : ▫ Preference for the use of validated instruments (including their translations) for the development of CCDs ▫ Preferential use of knowledge modelling strategies derived from the collaborative computing (web based or presential) ▫ Knowledge modelling might be based on expert panels in exceptional situations ▫ Publication of the knowledge modelling artifacts on a public, open access, FLOSS-based repository, maintained by the healthcare system manager in each one of the three levels of government
  • 44. My Conclusions • I think that the path for the development of citizen-centered, longitudinal, semantic coherent healthcare information systems is based on this tripod: ▫ Multilevel modelling ▫ Adoption of standardized terminologies ▫ Adoption of a Unique Citizen Identifier • Emerging countries have some competitive advantages in healthcare IT: ▫ Usually, the Big Customer is just one (the government) ▫ We are starting almost from scratch ▫ Emerging countries are much more FLOSS-friendly ▫ All needed tools are available or being developen in FLOSS • What’s next: ▫ Invite more partners to participate (government, academy, industry, third sector, FLOSS community) ▫ Go to work!
  • 45. Special Thanks to: Tim Cook Mike Bainbridge Thank you! Sergio Freire lutricav@vm.uff.br Join us: http://www.mlhim.org https://launchpad.net/mlhim