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A modular pipeline for natural language processing-screened human abstraction of a pragmatic trial outcome from electronic health records
2025-06-24
health informatics
Title + abstract only
View on medRxiv
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BackgroundNatural language processing (NLP) allows efficient extraction of clinical variables and outcomes from electronic health records (EHR). However, measuring pragmatic clinical trial outcomes may demand accuracy that exceeds NLP performance. Combining NLP with human adjudication can address this gap, yet few software solutions support such workflows. We developed a modular, scalable system for NLP-screened human abstraction to measure the primary outcomes of two clinical trials. MethodsIn...
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