title: A framework and model for evaluating clinical decision support architectures.
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.
authors.affiliation: Clinical Informatics Research and Development, Partners HealthCare, Boston, MA, USA. awright5@partners.org
authors.forename: Adam
authors.initials: A
authors.lastname: Wright
authors.forename: Dean F
authors.initials: DF
authors.lastname: Sittig
mesh_terms: D020000:Decision Support Systems, Clinical; D016347:Medical Records Systems, Computerized; D008962:Models, Theoretical