Development and Usability Testing of a System to Detect Adverse Events and Medical Mistakes.

Autor: Blakeney EA; Author Affiliations : Department of Biobehavioral Nursing and Health Informatics, School of Nursing, University of Washington, Seattle (Drs Abu-Rish Blakeney, Zierler, and Wolpin); Wolters Kluwer, UpToDate, Waltham, MA (Dr Dardas); and Department of Medicine, University of Washington, Seattle (Dardas)., Dardas T, Zierler BK, Wolpin S
Jazyk: angličtina
Zdroj: Computers, informatics, nursing : CIN [Comput Inform Nurs] 2023 May 01; Vol. 41 (5), pp. 330-337. Date of Electronic Publication: 2023 May 01.
DOI: 10.1097/CIN.0000000000000964
Abstrakt: Many inpatient hospital visits result in adverse events, and a disproportionate number of adverse events are thought to occur among vulnerable populations. The personal and financial costs of these events are significant at the individual, care team, and system levels. Existing methods for identifying adverse events, such as the Institute for Healthcare Improvement Global Trigger Tool, typically involve retroactive chart review to identify risks or triggers and then detailed review to determine whether and what type of harm occurred. These methods are limited in scalability and ability to prospectively identify triggers to enable intervention before an adverse event occurs. The purpose of this study was to gather usability feedback on a prototype of an informatics intervention based on the IHI method. The prototype electronic Global Trigger Tool collects and presents risk factors for adverse events. Six health professionals identified as potential users in clinical, quality improvement, and research roles were interviewed. Interviewees universally described insufficiencies of current methods for tracking adverse events and offered important information on desired future user interface features. A key next step will be to refine and integrate an electronic Global Trigger Tool system into standards-compliant electronic health record systems as a patient safety module.
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Databáze: MEDLINE