DocumentCode
3110459
Title
Using clinical decision support to maintain medication and problem lists A pilot study to yield higher patient safety
Author
Jao, Chiang S. ; Hier, Daniel B. ; Galanter, William L.
Author_Institution
Univ. of Illinois, Chicago, IL
fYear
2008
fDate
12-15 Oct. 2008
Firstpage
739
Lastpage
743
Abstract
To investigate whether clinical decision support that automates the matching of ordered drugs to problems (clinical diagnoses) on the problem list can enhance the maintenance of both medication and problem lists in the electronic medical record, we designed a clinical decision support system to match ordered drugs on the medication list and ongoing problems on the problem list. We evaluated the capability and performance of this clinical decision support system in medication-problem matching using physician expert chart audits to match ordered drugs to ongoing clinical problems. A clinical decision support system was shown to be useful in improving medication-problem matches in 140 randomly selected audited patient encounters in three inpatient units. Enhanced maintenance of both the medication and problem lists can permit the exploitation of advanced decision support strategies that yield higher patient safety.
Keywords
decision support systems; drug delivery systems; health and safety; advanced decision support strategies; clinical decision support system; clinical diagnoses; electronic medical record; medication-problem matches; medication-problem matching; ordered drug matching automation; patient safety; physician expert chart audits; Computer errors; Decision support systems; Drugs; Hospitals; Information technology; Medical diagnostic imaging; Medical services; Nervous system; Physics computing; Safety; clinical decision support; computerized physician order entry; electronic medical record; medical errors; patient safety;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man and Cybernetics, 2008. SMC 2008. IEEE International Conference on
Conference_Location
Singapore
ISSN
1062-922X
Print_ISBN
978-1-4244-2383-5
Electronic_ISBN
1062-922X
Type
conf
DOI
10.1109/ICSMC.2008.4811366
Filename
4811366
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