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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