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.
History
Publication title
Knowledge Management and Acquisition for Smart Systems and Services: Proceedings of the 13th Pacific Rim Knowledge Acquisition Workshop
Volume
LNCS 8863
Editors
Kim, YS; Kang, BH; Richards, D
Pagination
59-68
ISBN
9783319133317
Department/School
School of Pharmacy and Pharmacology
Publisher
Springer
Place of publication
London
Event title
13th Pacific Rim Knowledge Acquisition Workshop: PKAW 2014
Event Venue
Gold Coast, Australia
Date of Event (Start Date)
2014-12-01
Date of Event (End Date)
2014-12-02
Rights statement
COpyright 2014 Springer International Publishing Switzerland
Repository Status
Restricted
Socio-economic Objectives
Expanding knowledge in the information and computing sciences