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A framework and model for evaluating clinical decision support architectures.

Adam Wright, Dean F Sittig

Clinical Informatics Research and Development, Partners HealthCare, Boston, MA, USA; Division of General Medicine, Brigham & Women’s Hospital, Harvard Medical School, 1620 Tremont Street, Third Floor, Boston, MA 02115, USA.

Journal Article: Journal of Biomedical Informatics (impact factor: 2.43). 04/2008; DOI: 10.1016/j.jbi.2008.03.009

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.

Source: PubMed

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Keywords

architectures
 
Arden Syntax
 
clinical decision support
 
decision support architecture
 
decision support systems
 
desirable features
 
GLIF
 
SAGE
 
well-known decision support architectures