Source:http://linkedlifedata.com/resource/pubmed/id/20181104
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Predicate | Object |
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rdf:type | |
lifeskim:mentions | |
pubmed:dateCreated |
2010-3-1
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pubmed:abstractText |
Computerized clinical decision support systems are information technology-based systems designed to improve clinical decision-making. As with any healthcare intervention with claims to improve process of care or patient outcomes, decision support systems should be rigorously evaluated before widespread dissemination into clinical practice. Engaging healthcare providers and managers in the review process may facilitate knowledge translation and uptake. The objective of this research was to form a partnership of healthcare providers, managers, and researchers to review randomized controlled trials assessing the effects of computerized decision support for six clinical application areas: primary preventive care, therapeutic drug monitoring and dosing, drug prescribing, chronic disease management, diagnostic test ordering and interpretation, and acute care management; and to identify study characteristics that predict benefit.
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pubmed:commentsCorrections |
http://linkedlifedata.com/resource/pubmed/commentcorrection/20181104-15755945,
http://linkedlifedata.com/resource/pubmed/commentcorrection/20181104-16622142,
http://linkedlifedata.com/resource/pubmed/commentcorrection/20181104-8256973,
http://linkedlifedata.com/resource/pubmed/commentcorrection/20181104-8721797,
http://linkedlifedata.com/resource/pubmed/commentcorrection/20181104-9794315
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pubmed:language |
eng
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pubmed:journal | |
pubmed:status |
PubMed-not-MEDLINE
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pubmed:issn |
1748-5908
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pubmed:author | |
pubmed:issnType |
Electronic
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pubmed:volume |
5
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pubmed:owner |
NLM
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pubmed:authorsComplete |
Y
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pubmed:pagination |
12
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pubmed:dateRevised |
2010-9-28
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pubmed:year |
2010
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pubmed:articleTitle |
Effects of computerized clinical decision support systems on practitioner performance and patient outcomes: methods of a decision-maker-researcher partnership systematic review.
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pubmed:affiliation |
Health Information Research Unit, Department of Clinical Epidemiology and Biostatistics, McMaster University, Health Sciences Centre, 1280 Main Street West, Hamilton, Ontario, Canada. bhaynes@mcmaster.ca
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pubmed:publicationType |
Journal Article
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