A methodology for evaluation of knowledge-based systems in medicine

Kevin Clarke; Rory O'Moore; Raymond Smeds; Jan Talmon; Jytte Brender; Peter McNair; Pirkko Nykänen; Jane Grimson; Barry Barber

doi:10.1016/0933-3657(94)90040-X

A methodology for evaluation of knowledge-based systems in medicine

Kevin Clarke^*
, Rory O'Moore
, Raymond Smeds
, Jan Talmon
, Jytte Brender
, Peter McNair
, Pirkko Nykänen
, Jane Grimson
, Barry Barber

^*Corresponding author for this work

VTT Technical Research Centre of Finland

Trinity College Dublin
St. James Hospital
Transnational University Limburg (Maastricht)
Technical University of Denmark (DTU)
Hvidovre Hospital
NHS, Information Management Centre

Research output: Contribution to journal › Article › Scientific › peer-review

38 Citations (Scopus)

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 language	English
Pages (from-to)	107-122
Journal	Artificial Intelligence in Medicine
Volume	6
Issue number	2
DOIs	https://doi.org/10.1016/0933-3657(94)90040-X
Publication status	Published - 1994
MoE publication type	A1 Journal article-refereed

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AU - Clarke, Kevin

AU - O'Moore, Rory

AU - Smeds, Raymond

AU - Talmon, Jan

AU - Brender, Jytte

AU - McNair, Peter

AU - Nykänen, Pirkko

AU - Grimson, Jane

AU - Barber, Barry

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PY - 1994

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N2 - 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.

AB - 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.

U2 - 10.1016/0933-3657(94)90040-X

DO - 10.1016/0933-3657(94)90040-X

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EP - 122

JO - Artificial Intelligence in Medicine

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A methodology for evaluation of knowledge-based systems in medicine

Abstract

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