A methodology for evaluation of knowledge-based systems in medicine

Kevin Clarke (Corresponding Author), Rory O'Moore, Raymond Smeds, Jan Talmon, Jytte Brender, Peter McNair, Pirkko Nykänen, Jane Grimson, Barry Barber

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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.

Original languageEnglish
Pages (from-to)107 - 122
Number of pages16
JournalArtificial Intelligence in Medicine
Volume6
Issue number2
DOIs
Publication statusPublished - 1994
MoE publication typeA1 Journal article-refereed

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  • Cite this

    Clarke, K., O'Moore, R., Smeds, R., Talmon, J., Brender, J., McNair, P., Nykänen, P., Grimson, J., & Barber, B. (1994). A methodology for evaluation of knowledge-based systems in medicine. Artificial Intelligence in Medicine, 6(2), 107 - 122. https://doi.org/10.1016/0933-3657(94)90040-X