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Article

New and Increasing Rates of Adverse Events Can be Found in Unstructured Text in Electronic Health Records using the Shakespeare Method

2021-01-15

Abstract excerpt

<h4>ABSTRACT</h4> <h4>Background</h4> Text in electronic health records (EHRs) and big data tools offer the opportunity for surveillance of adverse events (patient harm associated with medical care) (AEs) in the unstructured notes. Writers may explicitly state an apparent association between treatment and adverse outcome (“attributed”) or state the simple treatment and outcome without an association (“unattributed...

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Literature Corpus work
f3d073d9-fe63-51b8-be4c-14c3379a25b4
DOI
10.1101/2021.01.12.21249674
Open publication

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New and Increasing Rates of Adverse Events Can be Found in Unstructured Text in Electronic Health Records using the Shakespeare MethodDOI 10.1101/2021.01.12.21249674
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