Post on 19-Mar-2016
description
RIMBAA Meeting
LifeLines en de keuze voor een generiek model
16 februari 2010
Arthur Kuipers
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
LifeLines: cohort studie
DataverzamelingLifeLines Datacentre
LifeLines Lab & A
rchive
GP Records
GP Health RecordSymptomsDiagnosesReferralsMedicationsProcedures
Hospital RecordsICD-10/ICD-9 (Diagnoses) OPCS4 (procedure)Primary Diagnosis
Questionnaire e.g.DietCircumstancesFamily HistoryEmploymentSmoking, alcoholLifestyleMedicationsCognitive FunctionHealth
Measurements e.g.Height, WeightRespiratory FunctionSightBlood Pressure
ResultsBiochemistryHaematologyAdvanced testingBiomarkersGenomics
spat
ial
te
mpo
ral
molecule pathway cell organ individual population segments society
Chemical Domain
Biological Domain Clinical Domain
Public Health Domain
drug informationmolecule structurechemical reaction
solubilitypotencytoxicity
publicationetc.
protein structuresgene expressionsequencing data
genenotypemicroarray data
SNPsbiomarkerannotationpathways
Locuspublication
etc.
individual EHRclaims
biomedical controlled vocabularyclinical care pathways and guidelinesdecision support and diagnostic rules
alerts and triggersdemographic
patient informationclinical trail data
observationssymptoms
clinical characteristics (phenotype)phenotypic data
test resultsdiagnosis interventiondisease progression
patient outcomeevidence
etc.
demographic hospital records surveillance data
educational material publication
etc.
Data Spectrum
Spa
tio-T
empo
ral S
pect
rum
Dataverzameling
DataverzamelingVeel!
• Veelsoortig• Grote hoeveelheden• Verschillende structuren• Langdurig• Gebruik
LR2 Solution (LR2S)
External Data
Provider
Research Portal
Application
(Lifelines)
LR2 Infostructure (LR2i)
Common Services
Com
mun
icat
ion
Bus
S
ervi
ces
Research Services & Registries (RSR)
Clinical Data Repository (CDR)
Architectuur
Clinical Data Repository (CDR)
Generic Data & Services
Publish Data
Stage Data & Services
Repository
LR2S
LR2i
XISLifelines FE phenoData
Provider
Data Resource
ResearcherCatalogueAnalysis Discovery
CDRPublish
Generic
Stage
Lifelines FE geno
Stage DB
Publish
Stage FS
Molgenis / Retrieval Suite / InforSense
Generic
Pseudonimisatie
TTP
AHONClientHIS
Domein Huisarts
d41d8cd98f00b204e9800998ecf8427e
Pseudonimiseren bij de bron
PublishLayer“DWH”
GenericLayer(HL7V3 RIM, PRIM)
StageLayer(raw data, snapshot, metadata)
PresentationLayer
CD
R
TTPResearch-PsID
Source-PsID
Trusted-PsID
Dataflows
Increasing Search Capability
Incr
easi
ng M
etad
ata
wea
k se
man
tics
stro
ng s
eman
tics
recovery discovery intelligence question answering reasoning
Axiology
Modal LogicFirst Order Logic
Description Logic
UMLOWL
RDF/S
Topic Map
ER ModelDB Schema, XML Schema
Relational Model, XML Model
Controlled VocabularyGlossary
Logic Theory
Conceptual Model
Taxonomy
Thesaurus
ListSyntactic Interoperability
Semantic Interoperability
Structural Interoperability
sour
ce: D
r.Leo
Obr
st,M
itre;
Mill
s D
avis
,Pro
ject
10X
Gezocht : oplossingen!
MogelijkhedenHL7 – PRIM – NEN13606 – EAV modelErvaring HL7 en researchCoderingsstandaarden SNOMED-CT
PSIPortavita, MGRIDDCM
Fysieke implementatieOpslag MGRIDHL7-standaard voor queries, query
mogelijkhedenTooling : ETL, mappingBest practices
Discussiepunten