eCite Digital Repository

An investigation into drug-related problems identifiable by commercial medication review software


Curtain, C and Bindoff, I and Westbury, J and Peterson, G, An investigation into drug-related problems identifiable by commercial medication review software, Australasian Medical Journal, 6, (4) pp. 183-188. ISSN 1836-1935 (2013) [Refereed Article]

Restricted - Request a copy

Copyright Statement

Copyright 2013 Australasian Medical Journal

DOI: doi:10.4066/AMJ.2013.1637


Background: Accredited pharmacists conduct home medicines reviews (HMRs) to detect and resolve potential drug-related problems (DRPs). A commercial expert system, Medscope Review Mentor (MRM), has been developed to assist pharmacists in the detection and resolution of potential DRPs.

Aims: This study compares types of DRPs identified with the commercial system which uses multiple classification ripple down rules (MCRDR) with the findings of pharmacists.

Method: HMR data from 570 reviews collected from accredited pharmacists was entered into MRM and the DRPs were identified. A list of themes describing the main concept of each DRP identified by MRM was developed to allow comparison with pharmacists. Theme types, frequencies, similarity and dissimilarity were explored.

Results: The expert system was capable of detecting a wide range of potential DRPs: 2854 themes; compared to pharmacists: 1680 themes. The system identified the same problems as pharmacists in many patient cases. Ninety of 119 types of themes identifiable by pharmacists were also identifiable by software. MRM could identify the same problems in the same patients as pharmacists for 389 problems, resulting in a low overlap of similarity with an averaged Jaccard Index of 0.09.

Conclusion: MRM found significantly more potential DRPs than pharmacists. MRM identified a wide scope of DRPs approaching the range of DRPs that were identified by pharmacists. Differences may be associated with system consistency and perhaps human oversight or human selective prioritisation. DRPs identified by the system were still considered relevant even though the system identified a larger number of problems.

Item Details

Item Type:Refereed Article
Keywords:clinical decision support system, MCRDR, home medicines review, pharmacy practice, artificial intelligence, medication review
Research Division:Biomedical and Clinical Sciences
Research Group:Pharmacology and pharmaceutical sciences
Research Field:Pharmacology and pharmaceutical sciences not elsewhere classified
Objective Division:Health
Objective Group:Evaluation of health and support services
Objective Field:Evaluation of health and support services not elsewhere classified
UTAS Author:Curtain, C (Mr Colin Curtain)
UTAS Author:Bindoff, I (Dr Ivan Bindoff)
UTAS Author:Westbury, J (Associate Professor Juanita Breen)
UTAS Author:Peterson, G (Professor Gregory Peterson)
ID Code:84204
Year Published:2013
Deposited By:Pharmacy
Deposited On:2013-04-30
Last Modified:2015-03-24
Downloads:1 View Download Statistics

Repository Staff Only: item control page