A Novel Sentence Transformer-based Natural Language Processing Approach for Schema Mapping of Electronic Health Records to the OMOP Common Data Model.
Zhou X, Dhingra L, Aminorroaya A, Adejumo P, Khera R. A Novel Sentence Transformer-based Natural Language Processing Approach for Schema Mapping of Electronic Health Records to the OMOP Common Data Model. AMIA Annual Symposium Proceedings 2025, 2024: 1332-1339. PMID: 40417570.Peer-Reviewed Original ResearchConceptsCommon data modelElectronic health recordsOMOP Common Data ModelSchema mappingsMapping electronic health recordData modelTransformer-based deep learning modelsNatural language processing approachEnd-to-endDeep learning modelsHealth recordsEnhance interoperabilityTransformation pipelineLearning modelsOMOPProcessing approachSchemaStandard conceptsDiverse healthcare systemsInteroperabilityLarge-scaleStandard mapDatasetSoftwareHealthcare systemA NOVEL SENTENCE TRANSFORMER NATURAL LANGUAGE PROCESSING APPROACH FOR PRAGMATIC EVALUATION OF MEDICATION COSTS IN PATIENTS WITH TYPE 2 DIABETES IN ELECTRONIC HEALTH RECORDS
Aminorroaya A, Dhingra L, Zhou X, Camargos A, Khera R. A NOVEL SENTENCE TRANSFORMER NATURAL LANGUAGE PROCESSING APPROACH FOR PRAGMATIC EVALUATION OF MEDICATION COSTS IN PATIENTS WITH TYPE 2 DIABETES IN ELECTRONIC HEALTH RECORDS. Journal Of The American College Of Cardiology 2025, 85: 407. DOI: 10.1016/s0735-1097(25)00891-5.Peer-Reviewed Original Research
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