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UMCG All about data 2014 World of Clinical Information Models CIMI


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UMCG All about data 2014 World of Clinical Information Models CIMI

  1. 1. "The World of Clinical Information Models" 30-jan-2014 Michael van der Zel Clinical Information Systems Architect
  2. 2. CSI?
  3. 3. ● Techniek – letters; chinees, arabisch 你好 ‫أهل وسهل‬ ● Structure – technische samenstelling ● Syntax – zin samenstelling, leesrichting ● Semantics – woordbetekenis ● Context – doel en aannames voor gebruik ● Proces – afspraken over uitvoeren Bron: Bernd Blobel, University of Regensburg CSI “Stairway to Heaven”
  4. 4. The baseline Infostructure in 2013. Will it fly? How long? With how much effort?
  5. 5. ● Mission – ● CIMI Mission & Goals Improve the interoperability of healthcare systems through shared implementable clinical information models. Note: implementable means models Goals that can be transformed into software artifacts. – Establish and maintain a shared repository of detailed clinical information models – Establish appropriate governance, finance, and organizational structure for the group – Capture background, context, and discussions relevant to decisions made in creating and using the model – Establish a fair and open process for curating the content in the model repository – Promote the creation of software tools that translate the models to other commonly used model representation languages (OWL, UML, HL7 MIF, graphic format, HTML, etc.) – Promote the creation of software tools that generate implementation artifacts (XML schemas, Java class definitions, CDA templates, GreenCDA, etc.)
  6. 6. Betrokken Organisaties Ministry of Health Holdings Singapore, LifeLines (NL), Health Intersections, ONC (USA), NHS Connecting for Health (UK), SMArt, Electronic Record Services, EN13606 Association (EU), B2i Healthcare (AU), Cambio Healthcare Systems, Canada Health Infoway (CA), CDISC, GE Healthcare (USA), HL7, IHTSDO, Intermountain Healthcare (US), JP Systems, Kaiser Permanente (US), Mayo Clinic (US), National Institutes of Health (US), Ocean Informatics (UK/AU), OpenEHR, Results4Care (EU), South Korea Yonsei University, Tolven, Veterans Health Administration (VA USA), ... N.B. Amerika, Europa, Australie, Azie, … en de rest?
  7. 7. m ean in g : T EXT ta rg e t: EHR_URI type : T EXT +l in ks LOCATABLE 0 ..* + + + + + + 0..1 +p arti ci p a ti o n s ca teg o ry: CODEABL E_T EXT l an gua g e : CODE_ PHRASE territory: CO DE_ PHRASE +conte nt 0 ..* a rch etyp e _ id : ARCHET YPE_ID tem p l ate _i d : T EM PL AT E_ID [0 ..1] rm _ ve rsi o n: Strin g PARTICIPATION 0..* + + + COMPOSITION + + + CIMI ARCHETYPED +arch e typ e _de tai l s arche typ e _n od e_ i d : Stri ng na m e: T EXT ui d : UID_ BASED_ ID [0 ..1] +p arty PARTY_PROXY fu ncti on : T EXT m od e : CO DEABLE_ T EXT ti m e : DAT E_T IM E [0 ..1 ] 1 ..1 CONTENT_ITEM CEM 0..* +i te m s 1 ..* +d ata CIMI RM 1.0.2 nul l _ fl avor: CODEABL E_T EXT [0 ..1 ] +i te m s SECTION ENTRY + l a n gu age : CODE_ PHRASE +val u e ITEM + DATA_VALUE 0 ..1 1 ..* Standard Terminologies CLUSTER + structure_ typ e: CODE_ PHRASE [0 ..1] ELEMENT CEMs DCMs CDA Templates openEHR Archetypes CEN Archetypes Repository of Shared Models in a Single Language LRA Models CMETs, HMDs RMIMs Initial Loading of Repository V2 “|” LRA V2 XML HTML V3 XML FHIR UML openEHR Archetype Translators CEN Archetype CDA OWL SOA Payload Thanks to Stan Huff, Intermountain Healthcare LINK + + +
  8. 8. Imported Intermountain Healthcare Klinische Bouwsteen « roo tco nce p t» Bloodpressure ? « roo tco nce pt» BloodPressurePanel S o u rce : n l.nictiz.B lo o dp re ssure -v0 .10 1 Imported OpenEHR Archetype S o u rce CE B l oo d P re ssu re P an e l.xm l with M o de l V alu e S e ts (20 1 1-fe b -1 3 ).xls «rootcon ce p t» Blood Pressure S o u rce h ttp://d cm .ne hta .o rg .au /ckm / o p en E HR-E HRO B S E RVA T ION.b ody_ we ig ht.v1 .xm l 1 0..1 B lo e dd ru kmeetw a a rd e CD «d a ta» Bov endruk « q ua l ifier,e nu m e ra ... Meetlocatie « en u m » + Rech terb o ve n a rm + Li n ke rb o ven a rm + Rech terd i j + Li n ke rd ij + Rech terp o ls + Li n ke rp o ls + V in ger + Rech tere n kel + Li n ke re n ke l 1 B lo e dd ru kmeetw a a rd e «d a ta» Onderdruk 0..1 0..1 CD «q u alifie r,enu m e ra ... Meetmethode « en um » + Ni et-in vasie f + In va si e f 0 ..1 0 ..1 PQ CD «d a ta » SystolicBloodPressureMeas «q u alifie r,e nu m e ra ... BodyLocationPrecoord CD ? «q u alifie r,enu m e ra ti ... MethodDev ice 0..1 ? PQ PQ « da ta» Diastolic 0..1 B lo e dd ru kmeetw a a rd e ? PQ «d a ta ,d eri va ti o n» GemiddeldeArterieleDruk «d a ta » MeanArterialPressureMeas CD 0..1 « sta te,e n u m era tio n » Body Position CD 0 ..1 « q uali fi er,e n um era... BodyPosition «e n u m » + Hea d o f b ed ra ise d + Lyin g o n l eft side + Lyin g o n rig ht sid e + P ro ne + S ea te d + S ta nd in g + S up in e « en u m » + S ta and + Li g g end + Zi tte nd + A ch tero verle u n end + La te raa l L ig ge nd + T re nde le n b urg Noticeable differences: ● Systolic & Diastolic cardinality ● Labels. ● With SCT code bindings. ● Valuesets. Noticeable differences: ● No distinction between state & qualifier. ● Labels. ● Code binding external. ● Cardinality always “0..1”? ● Valuesets. ? CD « q ua l ifier,e num e ra... Location of measurement « enu m » + In take M eth o d De vice + In traven o us Ca th ete r + T ube «d a ta» DiastolicBloodPressureMeas 0..1 PQ « da ta» Systolic PQ « da ta» Mean Arterial Pressure CD « q ua li fi er,e num e ra... Method «e n u m » + A uscu lta tio n + In va sive + M ach in e + P alp a ti o n « en u m » + Fi n g er + In tra -arte rial + Le ft ankl e + Le ft arm + Le ft thi g h + Le ft wrist + Rig ht a n kl e + Rig ht a rm + Rig ht thi g h + Rig ht wrist + T oe ? ? CD «sta te » Position « en u m » + Lyi ng + Lyi ng wi th ti lt to l e ft + Recl ini n g + S ittin g + S ta ndi ng Noticeable differences: ● Cardinality always “0..1”? ● Labels. ● No code bindings. ● Valuesets. “Some (models) are more equal than others” – George Orwell
  9. 9. Thanks to Linda Bird, MOH Holdings, Singnapore Diagnosis Example
  10. 10. be l Cu d e t i c Mo an al e m i n ic os Cl Is le m ob Concept r P
  11. 11. Clinical Model Cubes
  12. 12. Granularity Medical Condition (e.g. Diabetes Record) Questionnaire Apgar Score Propensity to Adverse Reaction Full BP Systolic Bp Number of Data Elements →
  13. 13. Wearables & Implantables H+ “Where information meets biology” blood flow heart rate vascular pressure adrenal secretion oxygen intake digestion bone growth circulation excretion heart regulation maintenance of tissue moisture thyroid secretion nutrient absorption salivary secretion carbon dioxide removal ocular transmission cochlear transmission H+ WebSeries cellular repair immune system response detoxification protein synthesis homeostasis regulation insulin production nervous system response respiration
  14. 14. “All models are wrong, some are useful” – George Box @ m.van.der.zel AT