Your browser doesn't support javascript.
loading
Show: 20 | 50 | 100
Results 1 - 2 de 2
Filter
Add more filters










Database
Language
Publication year range
1.
J Am Med Inform Assoc ; 14(5): 589-98, 2007.
Article in English | MEDLINE | ID: mdl-17600098

ABSTRACT

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.


Subject(s)
Decision Support Systems, Clinical , Practice Guidelines as Topic/standards , Hospital Information Systems , Humans , Knowledge Bases , Medical Order Entry Systems , Models, Theoretical , Software , Systems Integration , User-Computer Interface , Vocabulary, Controlled
2.
Stud Health Technol Inform ; 107(Pt 1): 174-8, 2004.
Article in English | MEDLINE | ID: mdl-15360798

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 infra-structure for implementing computable clinical practice guide-lines 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.


Subject(s)
Decision Support Systems, Clinical , Immunization , Practice Guidelines as Topic , Decision Making, Computer-Assisted , Humans , Hypertension/drug therapy , Medical Records Systems, Computerized , Models, Theoretical , Retrospective Studies , Software , User-Computer Interface , Vocabulary, Controlled
SELECTION OF CITATIONS
SEARCH DETAIL
...