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