2021/04/26 by Alexandr Uciteli, Uciteli, Alexandr, Christoph Beger +13
Computer Science · #610 Medical sciences #Educational Technology and Assessment #Health Level Seven #Medicine #Semantic Web and Ontologies #Service-Oriented Architecture and Web Services #biomedical ontologies #electronic health records #eligibility determination #health information interoperability #information retrieval #information storage
paper · doi:10.3205/mibe000219
openalex publication_date 2021/04/26 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/01
Planning clinical studies to check medical hypotheses requires the specification of eligibility criteria in order to identify potential study participants. Electronically available patient data allows to support the recruitment of patients for studies. The Smart Medical Information Technology for Healthcare (SMITH) consortium aims to establish data integration centres to enable the innovative use of available healthcare data for research and treatment optimization. The data from the electronic health record of patients in the participating hospitals is integrated into a Health Data Storage based on the Fast Healthcare Interoperability Resources standard (FHIR), developed by HL7. In SMITH, FHIR Search is used to query the integrated data. An investigation has shown the advantages and disadvantages of using FHIR Search for specifying eligibility criteria. This paper presents an approach for modelling eligibility criteria as well as for generating and executing FHIR Search queries. Our solution is based on the Phenotype Manager, a general ontological phenotyping framework to model and calculate phenotypes using the Core Ontology of Phenotypes.