Jane E Hamilton
2020
Extracting Adherence Information from Electronic Health Records
Jordan Sanders
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Meghana Gudala
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Kathleen Hamilton
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Nishtha Prasad
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Jordan Stovall
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Eduardo Blanco
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Jane E Hamilton
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Kirk Roberts
Proceedings of the 28th International Conference on Computational Linguistics
Patient adherence is a critical factor in health outcomes. We present a framework to extract adherence information from electronic health records, including both sentence-level information indicating general adherence information (full, partial, none, etc.) and span-level information providing additional information such as adherence type (medication or nonmedication), reasons and outcomes. We annotate and make publicly available a new corpus of 3,000 de-identified sentences, and discuss the language physicians use to document adherence information. We also explore models based on state-of-the-art transformers to automate both tasks.
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Co-authors
- Eduardo Blanco 1
- Jordan Sanders 1
- Jordan Stovall 1
- Kathleen Hamilton 1
- Kirk Roberts 1
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