A commercially used expert system using multiple-classification ripple-down rules applied to the domain of pharmacist-conducted home medicines re-view was examined. The system was capable of detecting a wide range of po-tential drug-related problems. The system identified the same problems as pharmacists in many of the cases. Problems identified by pharmacists but not by the system may be related to missing information or information outside the domain model. Problems identified by the system but not by pharmacists may be associated with system consistency and perhaps human oversight or human selective prioritization. Problems identified by the system were considered rele-vant even though the system identified a larger number of problems than human counterparts.
History
Publication title
Second Australian Workshop on Artificial Intelligence in Health: AIH 2012 Workshop Proceedings
Editors
Sankalp Khanna, Abdul Sattar, David Hansen
Pagination
11-20
Department/School
School of Pharmacy and Pharmacology
Publisher
AIH 2012
Place of publication
Sydney, Australia
Event title
Second Australian Workshop on Artificial Intelligence in Health: AIH 2012
Event Venue
Sydney, Australia
Date of Event (Start Date)
2012-12-04
Date of Event (End Date)
2012-12-04
Rights statement
Copyright 2012 the Authors
Repository Status
Restricted
Socio-economic Objectives
Evaluation of health and support services not elsewhere classified