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Curated
Natural Language Processing (NLP) for Medication Adherence: Complex Semantics and Negation [Methods Study], United States, 2015-2022 (ICPSR 39736)
Released/updated on: 2026-03-23
Geographic coverage: United States
Time period: 2015-01-01--2022-01-01
Clinical notes in electronic health records, or EHRs, can help researchers study treatments. For example, EHR notes may contain information about whether patients take their medicines as directed. But it takes researchers a lot of time to find this information.
Natural language processing, or NLP, methods can help researchers find information in EHR notes. With NLP, computer programs read and identify written language to make it easier to sort and study. But current NLP methods don't work well to find and label text about medicine use.
In this study, the research team created and tested a new NLP method to find and label EHR notes on patients' medicine use.