Modeling guidelines for integration into clinical workflow

Samson W. Tu, Mark A. Musen, Ravi Shankar, James Campbell, Karen Hrabak, James McClay, Stanley M. Huff, Robert McClure, Craig Parker, Roberto Rocha, Robert Abarbanel, Nick Beard, Julie Glasgow, Guy Mansfield, Prabhu Ram, Qin Ye, Eric Mays, Tony Weida, Christopher G. Chute, Kevin McDonaldDavid Mohr, Mark A. Nyman, Sidna Scheitel, Harold Solbrig, David A. Zill, Mary K. Goldstein

Research output: Contribution to journalArticle

29 Scopus citations

Abstract

The success of clinical decision-support systems requires that they are seamlessly integrated into clinical 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 have evaluated 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 implication of deployment-driven guideline encoding for sharability of executable guidelines.

Original languageEnglish (US)
Pages (from-to)174-178
Number of pages5
JournalStudies in health technology and informatics
Volume107
DOIs
StatePublished - Jan 1 2004

Keywords

  • Clinical decision support
  • Guidelines
  • Structured Vocabulary Standards

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management

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    Tu, S. W., Musen, M. A., Shankar, R., Campbell, J., Hrabak, K., McClay, J., Huff, S. M., McClure, R., Parker, C., Rocha, R., Abarbanel, R., Beard, N., Glasgow, J., Mansfield, G., Ram, P., Ye, Q., Mays, E., Weida, T., Chute, C. G., ... Goldstein, M. K. (2004). Modeling guidelines for integration into clinical workflow. Studies in health technology and informatics, 107, 174-178. https://doi.org/10.3233/978-1-60750-949-3-174