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Computable Eligibility Criteria through Ontology-driven Data Access: A Case Study of Hepatitis C Virus Trials
2018
AMIA Annual Symposium Proceedings
The increasing adoption of electronic health record (EHR) systems and proliferation of clinical data offer unprecedented opportunities for cohort identification to accelerate patient recruitment. However, the effort required to translate trial eligibility criteria to the correct cohort identification queries for clinical investigators is substantial, at least in part due to the lack of clear definitions in both the free-text eligibility criteria and the data models used to structure the
pmid:30815206
pmcid:PMC6371316
fatcat:36q2bjp6x5axnesaoxfmneebtu