Document Detail


May we support your decision?
MedLine Citation:
PMID:  10180866     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Expert systems to support medical decision-making have so far achieved few successes. Current technical developments, however, may overcome some of the limitations. Although there are several theoretical currents in medical artificial intelligence, there are signs of them converging. Meanwhile, decision support systems, which set themselves more modest goals than replicating or improving on clinicians' expertise, have come into routine use in places where an adequate electronic patient record exists. They may also be finding a wider role, assisting in the implementation of clinical practice guidelines. There is, however, still much uncertainty about the kinds of decision support that doctors and other health care professionals are likely to want or accept.
Authors:
C Gordon
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Journal of health services research & policy     Volume:  1     ISSN:  1355-8196     ISO Abbreviation:  J Health Serv Res Policy     Publication Date:  1996 Jul 
Date Detail:
Created Date:  1998-08-03     Completed Date:  1998-08-03     Revised Date:  2007-11-15    
Medline Journal Info:
Nlm Unique ID:  9604936     Medline TA:  J Health Serv Res Policy     Country:  SCOTLAND    
Other Details:
Languages:  eng     Pagination:  175-8     Citation Subset:  H    
Affiliation:
Medical Software Research and Development Team, Royal Brompton Hospital, London, UK.
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MeSH Terms
Descriptor/Qualifier:
Bayes Theorem
Decision Support Systems, Clinical / standards*
Expert Systems*
Great Britain
Humans
Medical Records Systems, Computerized
Practice Guidelines as Topic

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


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