Document Detail


The role of computerized decision support in reducing errors in selecting medicines for prescription: narrative review.
MedLine Citation:
PMID:  21417501     Owner:  NLM     Status:  In-Data-Review    
Abstract/OtherAbstract:
This narrative review includes a summary of research examining prescribing errors, prescription decision making and the role computerized decision support plays in this decision-making process. A reduction in medication prescribing errors, specifically a reduction in the selection of inappropriate medications, is expected to result from the implementation of an effective computerized decision support system. Previous research has investigated the impact of the implementation of electronic systems on medication errors more broadly. This review examines the specific characteristics of decision support systems that may contribute to fewer knowledge-based mistakes in prescribing, and critically appraises the large volume of information available on the decision-making process of selecting medicines for prescription. The results highlight a need for work investigating what decision strategies are used by doctors with different levels of expertise in the prescribing of medications. The nature of the relationship between decision support and decision performance is not well understood and future research is needed to determine the mechanisms by which computerized decision support influences medication selection.
Authors:
Melissa T Baysari; Johanna Westbrook; Jeffrey Braithwaite; Richard O Day
Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Drug safety : an international journal of medical toxicology and drug experience     Volume:  34     ISSN:  0114-5916     ISO Abbreviation:  Drug Saf     Publication Date:  2011 Apr 
Date Detail:
Created Date:  2011-03-22     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9002928     Medline TA:  Drug Saf     Country:  New Zealand    
Other Details:
Languages:  eng     Pagination:  289-98     Citation Subset:  IM    
Affiliation:
Australian Institute of Health Innovation, Faculty of Medicine, University of New South Wales, Sydney, New South Wales, Australia.
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