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Modeling Guidelines for Integration into Clinical Workflow
Conference Proceeding
Reference:
S. W. Tu, J. R. Campbell, K. M. Hrabak, J. McClay, S. M. Huff, R. McClure, C. Parker, R. Rocha, R. Abarbanel, N. Beard, J. Glasgow, J. G. Mansfield, P. Ram, Q. Ye, E. Mays, T. Weida, C. G. Chute, K. McDonald, D. Mohr, M. A. Nyman, S. M. Scheitel, H. Solbrig, D. Zill, M. K. Goldstein, R. D. Shankar, M. A. Musen. . Published in 2003.
Abstract:

The success of clinical decision-support systems re-quires that they are seamlessly integrated into clini-cal workflow. In the SAGE project, which aims to create the technological infrastructure for implementing computable clinical practice guidelines in enterprise settings, we created a deployment-driven methodology for developing guideline knowledge bases. It involves (1) identification of usage scenarios of guideline-based care in clinical workflow, (2) distillation and disambiguation of guideline knowledge relevant to these usage scenarios, (3) formalization of data elements and vocabulary used in the guideline,and (4) encoding of usage scenarios and guideline knowledge using an executable guideline model. This methodology makes explicit the points in the care process where guideline-based decision aids are appropriate and the roles of clinicians for whom the guideline-based assistance is intended. We are evaluating the methodology by simulating the deployment of an immunization guideline in a real clinical information system and by reconstructing the workflow context of a deployed decision-support system for guideline-based care. We discuss the im-plication of deployment-driven guideline encoding for sharability of executable guidelines.

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Information last updated: Sat Jun 2 2007
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Stanford School of Medicine