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Link to original content: https://pubmed.ncbi.nlm.nih.gov/18462999
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. 2008 Dec;41(6):982-90.
doi: 10.1016/j.jbi.2008.03.009. Epub 2008 Mar 25.

A framework and model for evaluating clinical decision support architectures

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A framework and model for evaluating clinical decision support architectures

Adam Wright et al. J Biomed Inform. 2008 Dec.

Abstract

In this paper, we develop a four-phase model for evaluating architectures for clinical decision support that focuses on: defining a set of desirable features for a decision support architecture; building a proof-of-concept prototype; demonstrating that the architecture is useful by showing that it can be integrated with existing decision support systems and comparing its coverage to that of other architectures. We apply this framework to several well-known decision support architectures, including Arden Syntax, GLIF, SEBASTIAN, and SAGE.

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Conflict of interest statement

Conflict of Interest: A portion of the architecture described here is based on work done by the Markle Foundation. Subsequent to completing this research, Author Wright was retained by the Markle Foundation in a consulting role on issues relating to Population Health.

Figures

Figure 1
Figure 1
Proportion of rules in a large clinical decision support knowledge base that could be represented in evaluated decision support architectures and formalisms.

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