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Impact of ontologies in healthcare and biomedical research Impacto de las ontologías en la asistencia y en la investigación biomédica. Ronald Cornet, PhD Dept of Medical Informatics, AMC Dept of Biomedical Engineering, Linköping Univ. What is an. Little agreement …
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Impact of ontologies in healthcare and biomedical researchImpacto de las ontologías en la asistencia y en la investigación biomédica Ronald Cornet, PhD Dept of Medical Informatics, AMCDept of Biomedical Engineering, Linköping Univ
What is an Little agreement… • “Strict” definition • a specification of a conceptualization • “Loose” definition • a model for describing the world that consists of a set of types, properties, and relationship types
1. Fromlanguageto meaning • Language is ambiguous;homonyms • DRE = DilatedRetinalExamination • DRE = Digital RectalExamination • #HOF?= ??? • Synonymshidesimilarmeaning • Heartattack • Myocardial infarct
2. Levels of abstraction • Bridging generic and specificconcepts • Guidelines mayrefer to“cardiorespiratory disorder” • Patient records containspecific diagnoses, e.g.,COPD • Is COPD a cardiorespiratorydisorder?
3. Query byrelationships • No fixed ordering necessary • Lung tumor: site=lung; morph=tumor • Lung infection: site=lung; process=infection • Brain tumor: site=brain; morph=tumor • Brain infection: site=brain; process=infection • Querying by site, morphology or process
Impact in healthcare (&) research Currentprocess Health data
Gartner Research CDR = clinical data repository CDS = clinical decision support CMV = controlled medical vocabulary CPOE = computer-based physician order entry KM = knowledge management WF = workflow framework
5 generations of Electronic Patient Records (Gartner, June 2007)
Gartner Hype Cycle for Healthcare Provider Applicationsand Systems, 2012
Conclusion • Ontologies are key to (re)usable data • Third+-generation records • Level 2+ healthcare analytics • Evidence-based medicine& • Medicine-basedevidence
Ronald Cornet • r.cornet@amc.uva.nl