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What is
OpenMRS?
Burke Mamlin,
MD
What we saw…

 Reporting-driven

 Top down

 Vertical systems

 Acute care

 Proprietary and predatory

 Free Text, lack of standards
Silos
Flat Model

 Patient     Pulse      Weight


John Doe      80         120
Flat Model

 Patient   Pulse   Weight   CD4 Count


John Doe    80      120        400
Flat Model

                   Weigh
 Patient   Pulse         CD4 Count
                     t


John Doe    80      120     400
Concept Dictionary

  Concept   Units


   Pulse    bpm


  Weight     lbs
Stacked Model

 Patient     Observation   Value


John Doe        Pulse       80


John Doe       Weight       120
Concept Dictionary

  Concept     Units


   Pulse      bpm


  Weight       lbs


 CD4 Count   cell/mm3
Stacked Model

 Patient     Observation   Value


John Doe        Pulse       80


John Doe       Weight       120


John Doe     CD4 Count      400
Toward a Common Infrastructure

          Data
                            Data




          Data               Data
Toward a Common Infrastructure

          Data
                            Data



                 Data




          Data               Data
Toward a Common Infrastructure

          Data
                            Data



          API    Data




          Data               Data
Toward a Common Infrastructure

          Data
                            Data



          API    Data




          Data               Data
OpenMRS
OpenMRS is…

 An Electronic Medical Record System

 A data model

 An API

 An HIV system

 A TB system

 A Primary Care system

 A developer community

 An implementer community
http://openmrs.org

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What is OpenMRS? An Electronic Medical Record System

Hinweis der Redaktion

  1. OpenMRS grew in response to HIV/AIDS
  2. Overburdened systems
  3. But medicines could cure. Scaling to meet the needs required an enterprise information system.
  4. The common practice was very top heavy; government agencies driving reporting systems.To hope to scale, we needed a new paradigm.
  5. The odds were against us.
  6. So, could we adopt someone else’s work?Looking around, we found many silos of effortNothing fit.So before we really got started, we evaluated the health IT landscape in the developing world…Unfortunately, we saw many silo’ed projects that weren’t interoperable with each other…
  7. The common “flat” approach to databases
  8. New column for new data
  9. Doesn’t scale. Changing the data model is expensive.
  10. By creating a concept dictionary…
  11. We can “stack” the same data
  12. …it’s added to the dictionary.
  13. Results are “stacked.” No need to change the data model.
  14. We started with the data modelThe foundation for the entire system.And we shared this with anyone who would look at it and offer criticism.
  15. We wrapped the data model in an API.
  16. Modules make adapting the system much easier.
  17. Our community grew.
  18. We caught the eye and interest of several generous and helpful organizations.
  19. OpenMRS is used worldwide.
  20. Not a single web application. Many uses.