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RIMBAA Meeting LifeLines en de keuze voor een generiek model 16 februari 2010 Arthur Kuipers

RIMBAA Meeting LifeLines en de keuze voor een generiek model 16 februari 2010 Arthur Kuipers. LifeLines : cohort studie. Kengetallen 2006 gestart 165.000 deelnemers uit GR/FR/DR 3 generaties 30 jaar lang medisch volgen Focus Frequent voorkomende (chronische) ziektes met hoge impact

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RIMBAA Meeting LifeLines en de keuze voor een generiek model 16 februari 2010 Arthur Kuipers

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  1. RIMBAA Meeting LifeLines en de keuze voor een generiek model 16 februari 2010 Arthur Kuipers

  2. LifeLines: cohort studie Kengetallen • 2006 gestart • 165.000 deelnemers uit GR/FR/DR • 3 generaties • 30 jaar lang medisch volgen Focus • Frequent voorkomende (chronische) ziektes met hoge impact • Factoren die met meer dan één ziekte geassocieerd zijn • Multi factoriele ziekten (gen + omgeving) • Onderzoek naar determinanten en dynamiek van gezond ouder worden

  3. Measurements e.g. Height, Weight Respiratory Function Sight Blood Pressure Results Biochemistry Haematology Advanced testing Biomarkers Genomics Questionnaire e.g. Diet Circumstances Family History Employment Smoking, alcohol Lifestyle Medications Cognitive Function Health Hospital Records ICD-10/ICD-9 (Diagnoses) OPCS4 (procedure) Primary Diagnosis GP Health Record Symptoms Diagnoses Referrals Medications Procedures Dataverzameling LifeLines Datacentre LifeLines Lab & Archive GP Records

  4. Dataverzameling individual EHRclaimsbiomedical controlled vocabularyclinical care pathways and guidelinesdecision support and diagnostic rulesalerts and triggersdemographicpatient informationclinical trail dataobservationssymptomsclinical characteristics (phenotype)phenotypic datatest resultsdiagnosis interventiondisease progressionpatient outcomeevidence etc. protein structuresgene expressionsequencing datagenenotypemicroarray dataSNPsbiomarkerannotationpathwaysLocuspublicationetc. demographic hospital records surveillance data educational material publication etc. drug informationmolecule structurechemical reactionsolubilitypotencytoxicitypublicationetc. Spatio-Temporal Spectrum spatialtemporal Public Health Domain Clinical Domain Biological Domain Chemical Domain molecule pathway cell organ individual population segments society Data Spectrum

  5. Dataverzameling Veel! • Veelsoortig • Grote hoeveelheden • Verschillende structuren • Langdurig • Gebruik

  6. Architectuur LR2Solution(LR2S) LR2Infostructure(LR2i) Research Services & Registries (RSR) Appli cation(Lifelines) Clinical Data Repository (CDR) External Data Provider Communication Bus Services Research Portal Common Services

  7. Repository Clinical Data Repository (CDR) Publish Data Generic Data & Services Stage Data & Services

  8. LR2S Molgenis / Retrieval Suite / InforSense Researcher LR2i Analysis Catalogue Discovery CDR Publish Publish Generic Generic Data Resource Stage FS Stage DB Stage XIS Lifelines FE geno Lifelines FE pheno Data Provider

  9. Pseudonimisatie

  10. Pseudonimiserenbij de bron TTP d41d8cd98f00b204e9800998ecf8427e HIS AHON Client Domein Huisarts

  11. Research-PsID PresentationLayer Trusted-PsID PublishLayer “DWH” TTP GenericLayer (HL7V3 RIM, PRIM) CDR Source-PsID StageLayer (raw data, snapshot, metadata)

  12. Dataflows

  13. Gezocht:oplossingen! Axiology Modal Logic Logic Theory First Order Logic Description Logic OWL Semantic Interoperability Conceptual Model UML RDF/S Topic Map Taxonomy weak semanticsstrong semantics Increasing Metadata Structural Interoperability ER Model DB Schema, XML Schema Thesaurus source: Dr.LeoObrst,Mitre; Mills Davis,Project 10X Relational Model, XML Model Syntactic Interoperability Glossary List Controlled Vocabulary recovery discovery intelligence question answering reasoning Increasing Search Capability

  14. Discussiepunten Mogelijkheden HL7 – PRIM – NEN13606 – EAV model Ervaring HL7 en research Coderingsstandaarden SNOMED-CT PSI Portavita, MGRID DCM Fysieke implementatie Opslag MGRID HL7-standaard voor queries, query mogelijkheden Tooling: ETL, mapping Best practices

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