Automating dynamic decision model construction to support clinical practice guideline development

Publication Type

Book Chapter

Publication Date

12-2001

Abstract

The role of decision models in supporting automated clinical practice guideline development is gaining importance in recent years. Constructing decision models from scratch, however, is laborious, time-consuming, and knowledge-intensive. This paper presents a new practical methodology to facilitate effective dynamic decision model construction for clinical practice guideline development, updating and customization. The proposed approach uses existing paper-based guidelines in sharable formats as the main information sources, characterizes the information inherent in the decision models and the clinical practice guidelines, establishes the relevant correspondences, reduces the effort needed in decision model construction, and increases the reusability and flexibility of the knowledge captured in the resulting guidelines.

Discipline

Computer Sciences | Health Information Technology

Publication

Computer-Based Support for Clinical Guidelines and Protocols

Volume

83

Editor

Heller, Barbara; Löffler, Markus; Musen, Mark; Stefanelli, Mario

First Page

133

Last Page

148

ISBN

9781586031930

Identifier

10.3233/978-1-60750-927-1-133

Publisher

IOS Press

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