Finding Potential Adverse Events in the Unstructured Text of Electronic Health Care Records: Development of the Shakespeare Method

Finding Potential Adverse Events in the Unstructured Text of Electronic Health Care Records: Development of the Shakespeare Method

BackgroundBig data tools provide opportunities to monitor adverse events (patient harm associated with medical care) (AEs) in the unstructured text of electronic health care records (EHRs). Writers may explicitly state an apparent association between treatment and adverse out...

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Bibliographic Details
Main Authors: Roselie A Bright, Summer K Rankin, Katherine Dowdy, Sergey V Blok, Susan J Bright, Lee Anne M Palmer
Format: Article
Language:English
Published: JMIR Publications 2021-08-01
Series:JMIRx Med
Online Access:https://med.jmirx.org/2021/3/e27017

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https://med.jmirx.org/2021/3/e27017

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