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Challenges in evaluating complex decision support systems: Lessons from Design-a-Trial

Potts, HWW; Wyatt, JC; Altman, DG; (2001) Challenges in evaluating complex decision support systems: Lessons from Design-a-Trial. In: Quaglini, S and Barahona, P and Andreassen, S, (eds.) ARTIFICIAL INTELLIGENCE IN MEDICINE, PROCEEDINGS. (pp. 453 - 456). SPRINGER-VERLAG BERLIN

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Abstract

Decision support system developers and users agree on the need for rigorous evaluations of performance and impact. Evaluating simple reminder systems is relatively easy because there is usually a gold standard of decision quality. However, when a system generates complex output (such as a critique or graphical report), it is much less obvious how to evaluate it. We discuss some generic problems and how one might resolve them, using as a case study Design-a-Trial, a DSS to help clinicians write a lengthy trial protocol.

Type: Proceedings paper
Title: Challenges in evaluating complex decision support systems: Lessons from Design-a-Trial
Event: 8th Conference on Artificial Intelligence in Medicine in Europe (AIME 2001)
Location: CASCAIS, PORTUGAL
Dates: 2001-07-01 - 2001-07-04
ISBN: 3-540-42294-3
Keywords: decision support, evaluation, Design-a-Trial, randomised controlled trial
UCL classification: UCL > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Epidemiology and Health Care > CHIME
URI: http://discovery.ucl.ac.uk/id/eprint/151195
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