Can adverse events be extracted from electronic anesthesia records?
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.
Powell
Thomas
T
University of Miami Department of Anesthesia, Perioperative Medicine, and Pain Management, Miami, Florida, USA.
D000761:Anesthesia Department, Hospital / Q000592:standards; D000777:Anesthetics / Q000009:adverse effects*; D006801:Humans; D016247:Information Storage and Retrieval; D008331:Management Information Systems; D016347:Medical Records Systems, Computerized; D011785:Quality Assurance, Health Care; D019984:Quality Indicators, Health Care
D000777:Anesthetics