This Article Full Text (PDF) References Alert me when this article is cited Alert me if a correction is posted Citation Map Services Email this article to a friend Similar articles in this journal Similar articles in PubMed Alert me to new issues of the journal Add to Saved Citations Download to citation manager Request Permissions Request Reprints Add to My Marked Citations Citing Articles Citing Articles via HighWire Citing Articles via Google Scholar Google Scholar Articles by Sanders, G. D. Articles by Owens, D. K. Search for Related Content PubMed PubMed Citation Articles by Sanders, G. D. Articles by Owens, D. K. Social Bookmarking                   What's this?

Distributed Decision Support Using a Web-based Interface

Prevention of Sudden Cardiac Death

C. Greg Hagerty

Frank A. Sonnenberg

Mark A. Hlatky

Douglas K. Owens

Although decision models can provide a formal foundation for guideline development and clinical decision support, their widespread use is often limited by the lack of plat form-independent software that geographically dispersed users can access and use easily without extensive training. To address these limitations the authors developed a World Wide Web-based interface for previously developed decision models. They describe the use and functionality of the interface using a decision model that evaluates the cost-effectiveness of strategies for preventing sudden cardiac death. The system allows an analyst to use a web browser to interact with the decision model and to change the values of input variables within pre-specified ranges, to specify sensitivity or threshold analyses, to evaluate the decision model, and to view the results gener ated dynamically. The web site also provides linkages to an explanation of the model, and evidence tables for input variables. The system demonstrates a method for pro viding distributed decision support to remote users such as guideline developers, de cision analysts, and potentially practicing physicians. The web interface provides plat form-independent and almost universal access to a decision model. This approach can make distributed decision support both practical and economical, and has the potential to increase the usefulness of decision models by enabling a broader audience to in corporate systematic analyses into both policy and clinical decisions. Key words: de cision-support techniques; practice guidelines; user-computer interface; decision anal ysis. (Med Decis Making 1999;19:157-166)

CiteULike    Connotea    Del.icio.us    Digg    Reddit    Technorati    What's this?

This article has been cited by other articles:

				J. A. Johnston and M. H. Eckman Use of Regression Modeling to Simulate Patient-Specific Decision Analysis for Patients with Nonvalvular Atrial Fibrillation Med Decis Making, September 1, 2003; 23(5): 361 - 368. [Abstract] [PDF]

				J. Dowie Decision technologies and the independent professional: the future's challenge to learning and leadership Qual. Saf. Health Care, December 1, 2001; 10(90002): ii59 - 63. [Abstract] [Full Text] [PDF]

				J. Dowie Decision analysis and the evaluation of decision technologies Qual. Saf. Health Care, March 1, 2001; 10(1): 1 - 2. [Full Text]

				G. D. Sanders, R. F. Nease JR, and D. K. Owens Design and Pilot Evaluation of a System to Develop Computer-based Site-specific Practice Guidelines from Decision Models Med Decis Making, April 1, 2000; 20(2): 145 - 159. [Abstract] [PDF]