Evaluation of clinical rules in a standalone pharmacy based clinical decision support system for hospitalized and nursing home patients

Highlights • Of all alerts given by CDSS, only 3.6% were considered clinically relevant. • Three categories for clinical relevancy were identified for development of CDSS. • These are ‘algorithm alert criteria’, ‘CDSS optimization’, and ‘data delivery’.

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Bibliographic Details
Published in:International journal of medical informatics (Shannon, Ireland) Ireland), 2015-06, Vol.84 (6), p.396-405
Main Authors: de Wit, Hugo A.J.M, Mestres Gonzalvo, Carlota, Cardenas, Jenny, Derijks, Hieronymus J, Janknegt, Rob, van der Kuy, Paul-Hugo M, Winkens, Bjorn, Schols, Jos M.G.A
Format: Article
Language:English
Subjects:
Algorithms
Clinical decision support systems
Clinical Pharmacy Information Systems
Decision Support Systems, Clinical
Decision support techniques
Efficiency
Hospitals
Humans
Internal Medicine
Medical Order Entry Systems
Nursing Homes
Other
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Description
Summary:Highlights • Of all alerts given by CDSS, only 3.6% were considered clinically relevant. • Three categories for clinical relevancy were identified for development of CDSS. • These are ‘algorithm alert criteria’, ‘CDSS optimization’, and ‘data delivery’.
ISSN:1386-5056
1872-8243
DOI:10.1016/j.ijmedinf.2015.02.004