Combining Rule-based NLP-lite with Rapid Iterative Chart Adjudication for Creation of a Large, Accurately Curated Cohort from EHR data: A Case Study in the Context of a Clinical Trial Emulation.
Mutalik P, Cheung K, Green J, Buelt-Gebhardt M, Anderson K, Jeanpaul V, McDonald L, Wininger M, Li Y, Rajeevan N, Jessel P, Moore H, Adabag S, Raitt M, Aslan M. Combining Rule-based NLP-lite with Rapid Iterative Chart Adjudication for Creation of a Large, Accurately Curated Cohort from EHR data: A Case Study in the Context of a Clinical Trial Emulation. AMIA Annual Symposium Proceedings 2025, 2024: 847-856. PMID: 40417550, PMCID: PMC12099393.Peer-Reviewed Original ResearchConceptsCorporate Data WarehouseNon-expertsClinical AI applicationsData warehouseAI applicationsVirtual emulationEHR dataClinical decision criteriaExtract informationCurated datasetComputational algorithmDecision criteriaTraining toolEmulationClinical notesStructural dataCase studyAlgorithmEHRDatasetWarehouseComputerInclusion/exclusion decisions
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