Paper: A methodology for evaluation of knowledge-based systems in medicine

Authors:
K. Clarke;R. O'Moore;R. Smeets;J. Talmon;J. Brender;P. McNair;P. Nykanen;J. Grimson;B. Barber
Affiliations:
Computer Science Dept., Trinity College Dublin, Dublin 2, Ireland;Dept. Clinical Pathology, St James's Hospital, Dublin, Ireland;Univ. Limburg, Dept. Medical Informatics and Statistics, Maastricht, Netherlands;Univ. Limburg, Dept. Medical Informatics and Statistics, Maastricht, Netherlands;Medical Informatics Lab., Lyngby, Denmark;Hvidovre Hospital, Dept. Clinical Chemistry, Copenhagen, Denmark;Tech. Research Centre of Finland, Med. Engineering Lab., Tampere, Finland;Computer Science Dept., Trinity College Dublin, Dublin 2, Ireland;NHS, Information Management Centre, Birmingham, UK
Venue:
Artificial Intelligence in Medicine
Year:
1994

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Abstract

Evaluation is critical to the development and successful integration of knowledge-based systems into their application environment. This is of particular importance in the medical domain - not only for reasons of safety and correctness, but also to reinforce the users' confidence in these systems. In this paper we describe an iterative, four-phased development evaluation cycle covering the following areas: (i) early prototype development, (ii) validity of the system, (iii) functionality of the system, and (iv) impact of the system.