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Challenges in Evaluating Complex Decision Support Systems: Lessons from Design-a-Trial

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Artificial Intelligence in Medicine (AIME 2001)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2101))

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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.

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© 2001 Springer-Verlag Berlin Heidelberg

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Potts, H.W.W., Wyatt, J.C., Altman, D.G. (2001). Challenges in Evaluating Complex Decision Support Systems: Lessons from Design-a-Trial. In: Quaglini, S., Barahona, P., Andreassen, S. (eds) Artificial Intelligence in Medicine. AIME 2001. Lecture Notes in Computer Science(), vol 2101. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48229-6_61

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  • DOI: https://doi.org/10.1007/3-540-48229-6_61

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42294-5

  • Online ISBN: 978-3-540-48229-1

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