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Changing	
  the	
  Rules:	
  the	
  
openEHR	
  and	
  IHE	
  ecosystem	
  
     Tomaž	
  Gornik,	
  Vice	
  President,	
  Marand	
  
     Borut	
  Fabjan,	
  Senior	
  Architect,	
  Marand	
  
                www.marand.com/thinkmed	
  	
  
                    thinkmed@marand.si	
  

                               	
  
Agenda	
  

•  Developing	
  software	
  with	
  openEHR	
  

•  Querying	
  the	
  EHR	
  

•  Using	
  openEHR	
  and	
  IHE	
  

•  Summary	
  



T.	
  Gornik,	
  B.	
  Fabjan,	
  2012	
         2	
  
DEVELOPING	
  SOFTWARE	
  WITH	
  
      OPENEHR	
  

T.	
  Gornik,	
  B.	
  Fabjan,	
  2012	
     3	
  
University	
  Children’s	
  Hospital	
  
                    Ljubljana,	
  Slovenia	
  
•  210	
  bed	
  teaching/research	
  hospital	
  
•  All	
  pediatric	
  specialties	
  including	
  oncology,	
  surgery	
  
        and	
  PICU	
  
•  New,	
  state-­‐of-­‐the-­‐art	
  facilities	
  and	
  equipment	
  
•  No	
  legacy	
  IT	
  system	
  
•  Motivated	
  staff	
  
•  2	
  year	
  timeframe	
  
T.	
  Gornik,	
  B.	
  Fabjan,	
  2012	
     4	
  
Software	
  development	
  challenges	
  
•  Constant	
  change	
  in	
  
           –  Information	
  
           –  Care	
  Process	
  
           –  Technology	
  
           –  Patient	
  needs	
  
           –  Legislation	
  
           	
  

           Requires	
  a	
  new	
  approach	
  to	
  managing	
  clinical	
  data	
  
	
  

T.	
  Gornik,	
  B.	
  Fabjan,	
  2012	
     5	
  
The	
  Clinical	
  Process	
  




T.	
  Gornik,	
  B.	
  Fabjan,	
  2012	
           6	
  
openEHR	
  
•  Separation	
  of	
  content	
  and	
  technology	
  

•  Archetypes	
  -­‐	
  Detailed	
  Clinical	
  Models	
  

•  Existing	
  archetypes	
  for	
  many	
  clinical	
  terms	
  

•  Templates	
  customize	
  data	
  set	
  for	
  each	
  use	
  
        case	
  


T.	
  Gornik,	
  B.	
  Fabjan,	
  2012	
          7	
  
Archetypes	
  




T.	
  Gornik,	
  B.	
  Fabjan,	
  2012	
           8	
  
Templates	
  




T.	
  Gornik,	
  B.	
  Fabjan,	
  2012	
           9	
  
The	
  architecture	
  
                                                                                                                           java	
  
                                    Int’l	
     Nat’l	
  /	
  local	
   Nat’l	
  /	
  local	
  
                                 archetypes	
   archetypes	
   templates	
                                                             Template-­‐	
  
                                                                                                                           C#	
        based	
  
                                                                                                                                       artefacts	
  
                                                                                                                           etc	
  




                                                    re	
       f	
      s	
      e	
              ts	
  

                                                             terminology	
                                 canonical	
  
                                                                                                                                             Querying	
  
                                                                                                           openEHR	
  

                                                                                                                                 data	
  
                                                  All	
  data	
  =	
  same	
  information	
  model	
  
T.	
  Gornik,	
  B.	
  Fabjan,	
  2012	
                                                 10	
  
Structured	
  data:	
  Nursing	
  




T.	
  Gornik,	
  B.	
  Fabjan,	
  2012	
     11	
  
Structured	
  data:	
  Nursing	
  




T.	
  Gornik,	
  B.	
  Fabjan,	
  2012	
     12	
  
Lessons	
  learned	
  
•  Clinician	
  involvement	
  
           –  Using	
  CKM	
  to	
  develop	
  archetypes/templates	
  

           –  Produce	
  their	
  own	
  local	
  archetypes	
  

           –  Much	
  easier	
  than	
  HL7	
  v3	
  

           	
  

           	
  
T.	
  Gornik,	
  B.	
  Fabjan,	
  2012	
               13	
  
Lessons	
  learned	
  
•  Faster	
  development	
  cycle	
  
           –  Data	
  model,	
  GUI	
  

•  Flexibility	
  
           –  Archetype	
  reuse,	
  versioning	
  

•  Generation	
  of	
  downstream	
  artefacts	
  
•  EHR	
  independent	
  of	
  application	
  (vendor)	
  
T.	
  Gornik,	
  B.	
  Fabjan,	
  2012	
               14	
  
Example	
  




T.	
  Gornik,	
  B.	
  Fabjan,	
  2012	
         15	
  
QUERYING	
  THE	
  EHR	
  


T.	
  Gornik,	
  B.	
  Fabjan,	
  2012	
     16	
  
How	
  will	
  we	
  read	
  EHRs	
  50	
  yrs	
  
                              from	
  now?	
  




T.	
  Gornik,	
  B.	
  Fabjan,	
  2012	
     17	
  
Query	
  example	
  

•  Get	
  all	
  the	
  
   patient’s	
  body	
  
   height	
  and	
  weight	
  
   readings	
  from	
  
   birth	
  to	
  present	
  
Archetype	
  Query	
  Language	
  

•  Portable,	
  application	
  independent	
  (CDS	
  apps!)	
  

•  AQL	
  based	
  interceptors	
  for	
  CDS,	
  alerts	
  

•  URI	
  -­‐	
  addressable	
  data	
  



	
  
Graphs	
  and	
  Alerts	
  
AQL	
  Editor	
  
AQL	
  QBE	
  
USING	
  IHE	
  AND	
  OPENEHR	
  


T.	
  Gornik,	
  B.	
  Fabjan,	
  2012	
     23	
  
IHE	
  –	
  Core	
  IT	
  Infrastructure	
  
                                                                                               PIX/PDQ    	
  
                                                                                                Query	
  
                                                                                      Pa*ent	
  Iden*ty	
  XRef	
  Mgr
                                                                                                                     	
  

                                                                                                    A87631	
  
                                                                                               M8354673993	
  

                                             PMS                                 M8354673993	
                       14355	
  

             Physician Office                                                   L-­‐716	
           14355	
  
                                                                                                      L-­‐716	
           A87631	
  
                                                                                                                                                                             ED Application



                                                                                                                    Document	
  
                                       Document                                                                      Registry	
                                       PACS
                                       Repository
                                                                                                                                                                  Document
                                                                                                                                                                  Repository
                                                                                                                                                                                   EHR System
                                                                  Query	
  Document     	
                          Register	
  Document        	
  
                                                                  (using	
  Pa*ent	
  ID)                            (using	
  Pa*ent	
  ID)
                                                                                                                                           	
                                     Provide &
                                                                                                                                                                                   Register
PACS
                                                                                Retrieve Document
                                                                                                                             Maintain
                                         Lab Info.
                                                                                                                              Time
                                         System                                                                                                        Maintain         Teaching Hospital
            Community Clinic                                                                                                                            Time
                                                                                                   Maintain
                                                     Record Audit                                   Time
                                                        Event     Audit record repository	

                             Time server	

                                                                              ATNA                                               CT            Record Audit Event
T.	
  Gornik,	
  B.	
  Fabjan,	
  2012	
                                                            24	
  
IHE	
  

                           IHE	
  Profiles	
  are	
  NOT	
  an	
  architecture	
  

   •  It	
  is	
  a	
  collection	
  of	
  architectural	
  components	
  

   •  To	
  build	
  into	
  new	
  or	
  existing	
  systems	
  

   •  To	
  aid	
  in	
  integration	
  


T.	
  Gornik,	
  B.	
  Fabjan,	
  2012	
            25	
  
IHE	
  
Benefits	
                                               Shortcomings	
  
                                                        •  Querying	
  limited	
  to	
  document	
  
•  Integration	
  profiles	
  
                                                               metadata	
  
•  Strong	
  industry	
  support	
  
                                                        •  Minimal	
  data-­‐set	
  content	
  
•  Focused	
  on	
  document	
  
                                                               Profiles	
  /	
  coarse	
  grained	
  data	
  	
  
        sharing	
  
                                                        •  Mostly	
  CDA	
  L1/L2	
  
•  Aids	
  integration	
  
                                                        •  Non-­‐computable	
  health	
  data	
  
	
                                                      	
  

T.	
  Gornik,	
  B.	
  Fabjan,	
  2012	
       26	
  
                                                        	
  
Simple	
  population	
  questions?	
  
•  How	
  many	
  patients	
  have	
  been	
  diagnosed	
  
        with	
  Sickle	
  Cell	
  disease	
  last	
  year?	
  
•  How	
  many	
  diabetes	
  patients	
  are	
  controlling	
  
        their	
  sugar?	
  
•  What	
  is	
  the	
  percentage	
  of	
  patients	
  with	
  high	
  
        BMI?	
  
T.	
  Gornik,	
  B.	
  Fabjan,	
  2012	
     27	
  
Semantic	
  underpinning	
  

•  What	
  to	
  use	
  as	
  standard	
  RM?	
  
•  Tried	
  HL7	
  RIM	
  	
  
•  Decided	
  to	
  use	
  openEHR	
  –	
  template	
  generated	
  XML	
  
           –  Semantically	
  consistent/validated	
  
           –  Directly	
  transforms	
  into	
  archetypes	
  
           –  Enables	
  querying	
  

T.	
  Gornik,	
  B.	
  Fabjan,	
  2012	
     28	
  
openEHR	
  &	
  IHE	
  can	
  coexist	
  
•  Benefits	
  
           –  Archetypes	
  –	
  maximal	
  data	
  set	
  –	
  key	
  for	
  
                   agreement	
  on	
  data	
  structures	
  

           –  Use	
  Templates	
  to	
  generate	
  XML	
  structures	
  to	
  
                   embed	
  in	
  CDA	
  L2/L3*	
  

           –  Distributed	
  EHR	
  –	
  supports	
  the	
  federated	
  model	
  


T.	
  Gornik,	
  B.	
  Fabjan,	
  2012	
          29	
  
Solution?	
  
•  We	
  need	
  a	
  new	
  IHE	
  profile	
  
           –  Addressing	
  content	
  query	
  needs	
  
                       •  Specifying	
  the	
  query	
  parameters	
  
                       •  Based	
  on	
  reference	
  model	
  

           –  Quick-­‐win:	
  IHE	
  On-­‐Demand	
  extended	
  with	
  Query	
  
                   parameters	
  	
  
•  This	
  will	
  take	
  years	
  (at	
  least	
  two)	
  
•  What	
  can	
  we	
  do	
  immediately?	
  

T.	
  Gornik,	
  B.	
  Fabjan,	
  2012	
                          30	
  
Solution?	
  

•  Define	
  CDA	
  template	
  based	
  on	
  OpenEHR	
  Template/
        Archetype	
  	
  
•  Leverage	
  IHE	
  Infrastructure	
  for	
  Document	
  Sharing	
  
•  Use	
  IHE	
  DSUB	
  to	
  subscribe	
  /	
  retrieve	
  “archetypical”	
  
        topics	
  
•  Use	
  IHE	
  On-­‐Demand	
  for	
  access	
  to	
  dynamic	
  information	
  

T.	
  Gornik,	
  B.	
  Fabjan,	
  2012	
          31	
  
Example:	
  Child	
  health	
  screening	
  
1.  HC	
  provider	
  publishes	
  Pediatric	
  Screening	
  Note	
  in	
  CDA	
  L2/L3*	
  
             format	
  
2.  Public	
  Health	
  Authority	
  uses	
  DSUB	
  profile	
  to	
  be	
  notified	
  of	
  new	
  
             published	
  document	
  
3.  PHA	
  stores	
  the	
  document	
  in	
  openEHR	
  registry	
  and	
  registers/
             replaces	
  Growth	
  Chart	
  Document	
  CDA	
  L2/L3*	
  
	
  
•  HC	
  provider	
  can	
  search	
  for	
  new	
  Growth	
  Chart	
  and	
  use	
  the	
  data	
  
•  PHA	
  can	
  query	
  the	
  registry	
  for	
  reporting	
  and	
  CDS	
  

T.	
  Gornik,	
  B.	
  Fabjan,	
  2012	
           32	
  
IHE	
  XDS	
  +	
  OpenEHR	
  +	
  DSUB	
  
                                                                                                       X.	
  Subscribe	
  to	
  
                                                                                                       document	
  metadata	
  of	
          Public	
  Health	
  
                                                                                DSUB.Broker	
                                                  Authority   	
  
                                                                                                       interest	
  
                                                                               DSUB.Publisher   	
  
                   6.	
  Search	
  for	
  “computed”	
  
                   documents	
  	
                                                                     3.	
  No*fica*on	
  on	
  new	
  
                                                                                XDS.Registry	
         document	
  availability	
  

                                                                                                                                               OpenEHR	
  

                                           2.	
  Registers	
  the	
  
                                           documents	
  metadata	
  
                                           and	
  pointer	
  with	
  the	
                                   4.	
  Retrieve	
  no*fied	
  
                                           Registry	
                                                        document	
  from	
  
HealthCare	
  Provider
                     	
                                                                                      Repository	
  (-­‐ies)	
  



                                          1.	
  Sources	
  post	
  
                                          document	
  to	
  the	
  
                                                                                                              5.	
  Post	
  “computed”	
  
                                          Repository	
  
     Source	
  of	
                                                                                           document	
  to	
  the	
  
     Documents        	
                                                                                      Repository	
  
                                                                               XDS.Repository	
  

  T.	
  Gornik,	
  B.	
  Fabjan,	
  2012	
                                               33	
  
Next	
  step	
  
•  A	
  system	
  with	
  openEHR	
  data	
  about	
  a	
  patient	
  
        could	
  register	
  this	
  in	
  an	
  IHE	
  registry	
  
•  An	
  AQL	
  query	
  could	
  be	
  sent	
  out	
  to	
  those	
  sites	
  
        and	
  return	
  an	
  XML	
  result	
  set	
  
•  Other	
  IHE	
  profiles	
  such	
  as	
  Consent	
  can	
  be	
  
        used	
  

T.	
  Gornik,	
  B.	
  Fabjan,	
  2012	
            34	
  
Thinking	
  outside	
  the	
  box	
  
	
  

Enhance	
  QED	
  with	
  support	
  for	
  openEHR?	
  

	
  

	
  

	
  

	
  
T.	
  Gornik,	
  B.	
  Fabjan,	
  2012	
     35	
  
CIMI	
  Group	
  
led	
  by	
  Stan	
  Huff,	
  IMH	
  
•       Cambio	
  Healthcare	
  Systems	
  	
                         •    Mayo	
  Clinic	
  
•       Canada	
  Health	
  Infoway/Inforoute	
  Santé	
              •    MOH	
  Holdings	
  Singapore	
  	
  
        Canada	
  	
  
                                                                      •    National	
  Institutes	
  of	
  Health	
  (USA)	
  	
  
•       CDISC	
  	
  
                                                                      •    NHS	
  Connecting	
  for	
  Health	
  	
  
•       Electronic	
  Record	
  Services	
  	
  
                                                                      •    Ocean	
  Informatics	
  	
  
•       EN	
  13606	
  Association	
  	
  
                                                                      •    openEHR	
  Foundation	
  	
  
•       GE	
  Healthcare	
  	
  
•       HL7	
  	
                                                     •    Results4Care	
  	
  
•       IHTSDO	
  	
                                                  •    SMART	
  	
  
•       Intermountain	
  Healthcare	
  	
                             •    South	
  Korea	
  Yonsei	
  University	
  	
  
•       Kaiser	
  Permanente	
                                        •    Veterans	
  Health	
  Administration	
  

T.	
  Gornik,	
  B.	
  Fabjan,	
  2012	
                     36	
  
Summary	
  
•  openEHR	
  changes	
  software	
  development	
  
        economics	
  
•  AQL	
  offers	
  several	
  advantages	
  in	
  querying	
  EHR	
  
        data	
  
•  openEHR	
  and	
  IHE	
  are	
  complementary	
  
           –  openEHR	
  provides	
  data,	
  context,	
  semantics,	
  querying	
  
           –  IHE	
  provides	
  interoperability/infrastructure	
  
T.	
  Gornik,	
  B.	
  Fabjan,	
  2012	
         37	
  
Changing	
  the	
  Rules:	
  the	
  
openEHR	
  and	
  IHE	
  ecosystem	
  
      Tomaž	
  Gornik,	
  Vice	
  President,	
  Marand	
  
      Borut	
  Fabjan,	
  Senior	
  Architect,	
  Marand	
  
                www.marand.com/thinkmed	
  	
  
                    thinkmed@marand.si	
  
                                	
  
                                	
  

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OpenEHR and IHE Ecosystem

  • 1. Changing  the  Rules:  the   openEHR  and  IHE  ecosystem   Tomaž  Gornik,  Vice  President,  Marand   Borut  Fabjan,  Senior  Architect,  Marand   www.marand.com/thinkmed     thinkmed@marand.si    
  • 2. Agenda   •  Developing  software  with  openEHR   •  Querying  the  EHR   •  Using  openEHR  and  IHE   •  Summary   T.  Gornik,  B.  Fabjan,  2012   2  
  • 3. DEVELOPING  SOFTWARE  WITH   OPENEHR   T.  Gornik,  B.  Fabjan,  2012   3  
  • 4. University  Children’s  Hospital   Ljubljana,  Slovenia   •  210  bed  teaching/research  hospital   •  All  pediatric  specialties  including  oncology,  surgery   and  PICU   •  New,  state-­‐of-­‐the-­‐art  facilities  and  equipment   •  No  legacy  IT  system   •  Motivated  staff   •  2  year  timeframe   T.  Gornik,  B.  Fabjan,  2012   4  
  • 5. Software  development  challenges   •  Constant  change  in   –  Information   –  Care  Process   –  Technology   –  Patient  needs   –  Legislation     Requires  a  new  approach  to  managing  clinical  data     T.  Gornik,  B.  Fabjan,  2012   5  
  • 6. The  Clinical  Process   T.  Gornik,  B.  Fabjan,  2012   6  
  • 7. openEHR   •  Separation  of  content  and  technology   •  Archetypes  -­‐  Detailed  Clinical  Models   •  Existing  archetypes  for  many  clinical  terms   •  Templates  customize  data  set  for  each  use   case   T.  Gornik,  B.  Fabjan,  2012   7  
  • 8. Archetypes   T.  Gornik,  B.  Fabjan,  2012   8  
  • 9. Templates   T.  Gornik,  B.  Fabjan,  2012   9  
  • 10. The  architecture   java   Int’l   Nat’l  /  local   Nat’l  /  local   archetypes   archetypes   templates   Template-­‐   C#   based   artefacts   etc   re   f   s   e   ts   terminology   canonical   Querying   openEHR   data   All  data  =  same  information  model   T.  Gornik,  B.  Fabjan,  2012   10  
  • 11. Structured  data:  Nursing   T.  Gornik,  B.  Fabjan,  2012   11  
  • 12. Structured  data:  Nursing   T.  Gornik,  B.  Fabjan,  2012   12  
  • 13. Lessons  learned   •  Clinician  involvement   –  Using  CKM  to  develop  archetypes/templates   –  Produce  their  own  local  archetypes   –  Much  easier  than  HL7  v3       T.  Gornik,  B.  Fabjan,  2012   13  
  • 14. Lessons  learned   •  Faster  development  cycle   –  Data  model,  GUI   •  Flexibility   –  Archetype  reuse,  versioning   •  Generation  of  downstream  artefacts   •  EHR  independent  of  application  (vendor)   T.  Gornik,  B.  Fabjan,  2012   14  
  • 15. Example   T.  Gornik,  B.  Fabjan,  2012   15  
  • 16. QUERYING  THE  EHR   T.  Gornik,  B.  Fabjan,  2012   16  
  • 17. How  will  we  read  EHRs  50  yrs   from  now?   T.  Gornik,  B.  Fabjan,  2012   17  
  • 18. Query  example   •  Get  all  the   patient’s  body   height  and  weight   readings  from   birth  to  present  
  • 19. Archetype  Query  Language   •  Portable,  application  independent  (CDS  apps!)   •  AQL  based  interceptors  for  CDS,  alerts   •  URI  -­‐  addressable  data    
  • 23. USING  IHE  AND  OPENEHR   T.  Gornik,  B.  Fabjan,  2012   23  
  • 24. IHE  –  Core  IT  Infrastructure   PIX/PDQ   Query   Pa*ent  Iden*ty  XRef  Mgr   A87631   M8354673993   PMS M8354673993   14355   Physician Office L-­‐716   14355   L-­‐716   A87631   ED Application Document   Document Registry   PACS Repository Document Repository EHR System Query  Document   Register  Document   (using  Pa*ent  ID) (using  Pa*ent  ID)   Provide & Register PACS Retrieve Document Maintain Lab Info. Time System Maintain Teaching Hospital Community Clinic Time Maintain Record Audit Time Event Audit record repository Time server ATNA CT Record Audit Event T.  Gornik,  B.  Fabjan,  2012   24  
  • 25. IHE   IHE  Profiles  are  NOT  an  architecture   •  It  is  a  collection  of  architectural  components   •  To  build  into  new  or  existing  systems   •  To  aid  in  integration   T.  Gornik,  B.  Fabjan,  2012   25  
  • 26. IHE   Benefits   Shortcomings   •  Querying  limited  to  document   •  Integration  profiles   metadata   •  Strong  industry  support   •  Minimal  data-­‐set  content   •  Focused  on  document   Profiles  /  coarse  grained  data     sharing   •  Mostly  CDA  L1/L2   •  Aids  integration   •  Non-­‐computable  health  data       T.  Gornik,  B.  Fabjan,  2012   26    
  • 27. Simple  population  questions?   •  How  many  patients  have  been  diagnosed   with  Sickle  Cell  disease  last  year?   •  How  many  diabetes  patients  are  controlling   their  sugar?   •  What  is  the  percentage  of  patients  with  high   BMI?   T.  Gornik,  B.  Fabjan,  2012   27  
  • 28. Semantic  underpinning   •  What  to  use  as  standard  RM?   •  Tried  HL7  RIM     •  Decided  to  use  openEHR  –  template  generated  XML   –  Semantically  consistent/validated   –  Directly  transforms  into  archetypes   –  Enables  querying   T.  Gornik,  B.  Fabjan,  2012   28  
  • 29. openEHR  &  IHE  can  coexist   •  Benefits   –  Archetypes  –  maximal  data  set  –  key  for   agreement  on  data  structures   –  Use  Templates  to  generate  XML  structures  to   embed  in  CDA  L2/L3*   –  Distributed  EHR  –  supports  the  federated  model   T.  Gornik,  B.  Fabjan,  2012   29  
  • 30. Solution?   •  We  need  a  new  IHE  profile   –  Addressing  content  query  needs   •  Specifying  the  query  parameters   •  Based  on  reference  model   –  Quick-­‐win:  IHE  On-­‐Demand  extended  with  Query   parameters     •  This  will  take  years  (at  least  two)   •  What  can  we  do  immediately?   T.  Gornik,  B.  Fabjan,  2012   30  
  • 31. Solution?   •  Define  CDA  template  based  on  OpenEHR  Template/ Archetype     •  Leverage  IHE  Infrastructure  for  Document  Sharing   •  Use  IHE  DSUB  to  subscribe  /  retrieve  “archetypical”   topics   •  Use  IHE  On-­‐Demand  for  access  to  dynamic  information   T.  Gornik,  B.  Fabjan,  2012   31  
  • 32. Example:  Child  health  screening   1.  HC  provider  publishes  Pediatric  Screening  Note  in  CDA  L2/L3*   format   2.  Public  Health  Authority  uses  DSUB  profile  to  be  notified  of  new   published  document   3.  PHA  stores  the  document  in  openEHR  registry  and  registers/ replaces  Growth  Chart  Document  CDA  L2/L3*     •  HC  provider  can  search  for  new  Growth  Chart  and  use  the  data   •  PHA  can  query  the  registry  for  reporting  and  CDS   T.  Gornik,  B.  Fabjan,  2012   32  
  • 33. IHE  XDS  +  OpenEHR  +  DSUB   X.  Subscribe  to   document  metadata  of   Public  Health   DSUB.Broker   Authority   interest   DSUB.Publisher   6.  Search  for  “computed”   documents     3.  No*fica*on  on  new   XDS.Registry   document  availability   OpenEHR   2.  Registers  the   documents  metadata   and  pointer  with  the   4.  Retrieve  no*fied   Registry   document  from   HealthCare  Provider   Repository  (-­‐ies)   1.  Sources  post   document  to  the   5.  Post  “computed”   Repository   Source  of   document  to  the   Documents   Repository   XDS.Repository   T.  Gornik,  B.  Fabjan,  2012   33  
  • 34. Next  step   •  A  system  with  openEHR  data  about  a  patient   could  register  this  in  an  IHE  registry   •  An  AQL  query  could  be  sent  out  to  those  sites   and  return  an  XML  result  set   •  Other  IHE  profiles  such  as  Consent  can  be   used   T.  Gornik,  B.  Fabjan,  2012   34  
  • 35. Thinking  outside  the  box     Enhance  QED  with  support  for  openEHR?           T.  Gornik,  B.  Fabjan,  2012   35  
  • 36. CIMI  Group   led  by  Stan  Huff,  IMH   •  Cambio  Healthcare  Systems     •  Mayo  Clinic   •  Canada  Health  Infoway/Inforoute  Santé   •  MOH  Holdings  Singapore     Canada     •  National  Institutes  of  Health  (USA)     •  CDISC     •  NHS  Connecting  for  Health     •  Electronic  Record  Services     •  Ocean  Informatics     •  EN  13606  Association     •  openEHR  Foundation     •  GE  Healthcare     •  HL7     •  Results4Care     •  IHTSDO     •  SMART     •  Intermountain  Healthcare     •  South  Korea  Yonsei  University     •  Kaiser  Permanente   •  Veterans  Health  Administration   T.  Gornik,  B.  Fabjan,  2012   36  
  • 37. Summary   •  openEHR  changes  software  development   economics   •  AQL  offers  several  advantages  in  querying  EHR   data   •  openEHR  and  IHE  are  complementary   –  openEHR  provides  data,  context,  semantics,  querying   –  IHE  provides  interoperability/infrastructure   T.  Gornik,  B.  Fabjan,  2012   37  
  • 38. Changing  the  Rules:  the   openEHR  and  IHE  ecosystem   Tomaž  Gornik,  Vice  President,  Marand   Borut  Fabjan,  Senior  Architect,  Marand   www.marand.com/thinkmed     thinkmed@marand.si