The SAGE Guideline Model: Achievements and Overview

Samson W. Tu, James R. Campbell, Julie Glasgow, Mark A. Nyman, Robert McClure, James McClay, Craig Parker, Karen M. Hrabak, David Berg, Tony Weida, James G. Mansfield, Mark A. Musen, Robert M. Abarbanel

Research output: Contribution to journalArticlepeer-review

152 Scopus citations


The SAGE (Standards-Based Active Guideline Environment) project was formed to create a methodology and infrastructure required to demonstrate integration of decision-support technology for guideline-based care in commercial clinical information systems. This paper describes the development and innovative features of the SAGE Guideline Model and reports our experience encoding four guidelines. Innovations include methods for integrating guideline-based decision support with clinical workflow and employment of enterprise order sets. Using SAGE, a clinician informatician can encode computable guideline content as recommendation sets using only standard terminologies and standards-based patient information models. The SAGE Model supports encoding large portions of guideline knowledge as re-usable declarative evidence statements and supports querying external knowledge sources.

Original languageEnglish (US)
Pages (from-to)589-598
Number of pages10
JournalJournal of the American Medical Informatics Association
Issue number5
StatePublished - Sep 2007

ASJC Scopus subject areas

  • Health Informatics


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