Can adverse events be extracted from electronic anesthesia records?
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Published on: August 25, 2022
1University of Miami Department of Anesthesia, Perioperative Medicine, and Pain Management, Miami, Florida, USA.
Abstract:
Using information gathered from an anesthesia information management system (AIMS) quality assurance module, we propose a 4-tiered classification scheme for electronically extracted adverse events (AE). Type I AE can be extracted directly from the AIMS clinical data, Type II and III AE have extractible elements, but need further clarification by chart review, and Type IV AE cannot be detected without voluntary disclosures.
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