Document Detail


Human factors engineering for computer-supported identification and prevention of adverse drug events.
MedLine Citation:
PMID:  19745231     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
This paper addresses the question of the integration of Human Factors (HF) methods and models within projects aiming at (semi-) automatically identifying and preventing Adverse Drug Events (ADE). While more traditional methods such as voluntary reporting systems of medication errors tend to focus on HF causes of preventable ADEs, computer-based screening and mining methods tend to rely on a medical model of ADEs. As a consequence, HF methods and concepts are rarely considered in those projects. The paper describes the way HF methods have been incorporated in the PSIP (Patient Safety through Intelligent Procedures in medication) project lifecycle. It provides some examples of the results obtained and demonstrates their relevance to improve the entire detection and prevention process.
Authors:
Marie-Catherine Beuscart-Z??phir; Christian N??hr
Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Studies in health technology and informatics     Volume:  148     ISSN:  0926-9630     ISO Abbreviation:  Stud Health Technol Inform     Publication Date:  2009  
Date Detail:
Created Date:  2009-09-11     Completed Date:  2010-01-05     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9214582     Medline TA:  Stud Health Technol Inform     Country:  Netherlands    
Other Details:
Languages:  eng     Pagination:  14-24     Citation Subset:  T    
Affiliation:
Univ Lille Nord de France, Lille, France. mcbeuscart@univ-lille2.fr
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MeSH Terms
Descriptor/Qualifier:
Diagnosis, Computer-Assisted*
Drug Toxicity / diagnosis*,  prevention & control*
Human Engineering
Humans
Medication Errors / prevention & control

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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