Ontological modelling and FHIR Search based representation of basic eligibility criteria

Abstract:

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.

DOI: 10.3205/mibe000219

Projects: LHA - Leipzig Health Atlas, Onto-Med Research Group, SMITH - Smart Medical Information Technology for Healthcare

Publication type: Journal article

Journal: GMS Med Inform Biom Epidemiol 2021

Human Diseases: No Human Disease specified

Citation: Uciteli A, Beger C, Wagner J, Kirsten T, Meineke FA, Staubert S, Lobe M, Herre H: Ontological modelling and FHIR Search based representation of basic eligibility criteria. GMS Med Inform Biom Epidemiol 2021;17(2):Doc05.

Date Published: 26th Apr 2021

URL: https://dx.doi.org/10.3205/mibe000219

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Citation
Uciteli, A., Beger, C., Wagner, J., Kirsten, T., Meineke, F. A., Stäubert, S., Löbe, M., & Herre, H. (2021). Ontological modelling and FHIR Search based representation of basic eligibility criteria. GMS Medizinische Informatik, Biometrie und Epidemiologie; 17(2):Doc05. https://doi.org/10.3205/MIBE000219
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Created: 2nd Jun 2021 at 10:15

Last updated: 7th Dec 2021 at 17:58

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