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Problems detected by a ripple-down rules based medication review decision support system: are they relevant?


Bindoff, I and Curtain, C and Peterson, G and Westbury, J and Ling, T, Problems detected by a ripple-down rules based medication review decision support system: are they relevant?, Knowledge Management and Acquisition for Smart Systems and Services: Proceedings of the 13th Pacific Rim Knowledge Acquisition Workshop, 1-2 December, 2014, Gold Coast, Australia, pp. 59-68. ISBN 9783319133317 (2014) [Refereed Conference Paper]

Copyright Statement

COpyright 2014 Springer International Publishing Switzerland

DOI: doi:10.1007/978-3-319-13332-4_6


A ripple-down rules based clinical decision support system to detect drug-related problems (DRPs) has been previously designed and discussed. A commercial implementation of this system (MRM) was evaluated to determine how many additional DRPs would be identified by the reviewing pharmacist when supported by MRM, and whether these additional DRPs were clinically relevant. The DRPs identified by pharmacists were compared against those found by MRM on a dataset of 570 medication review cases, MRM found 2854 DRPs, pharmacists found 1974 DRPs, yet only 389 of the problems that MRM found were also found by the pharmacist. A sample of 20 of these cases were assessed by an expert panel to determine if the DRPs found by each source were clinically relevant. It was determined that DRPs found by both sources were clinically relevant. It is estimated that a pharmacist supported by MRM will find 2.25 times as many DRPs.

Item Details

Item Type:Refereed Conference Paper
Keywords:ripple down rules, multiple classification ripple down rules, rdr, mcrdr, drug related problems, DRP, medication review, clinical relevance, clinical decision support systems, DSS, CDSS
Research Division:Biomedical and Clinical Sciences
Research Group:Pharmacology and pharmaceutical sciences
Research Field:Clinical pharmacology and therapeutics
Objective Division:Expanding Knowledge
Objective Group:Expanding knowledge
Objective Field:Expanding knowledge in the information and computing sciences
UTAS Author:Bindoff, I (Dr Ivan Bindoff)
UTAS Author:Curtain, C (Mr Colin Curtain)
UTAS Author:Peterson, G (Professor Gregory Peterson)
UTAS Author:Westbury, J (Associate Professor Juanita Breen)
UTAS Author:Ling, T (Dr Tristan Ling)
ID Code:96949
Year Published:2014
Deposited By:Pharmacy
Deposited On:2014-11-26
Last Modified:2015-11-11
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