GLIF3: a representation format for sharable computer-interpretable clinical practice guidelines

  • Authors:

  • Aziz A. Boxwala;Mor Peleg;Samson Tu;Omolola Ogunyemi;Qing T. Zeng;Dongwen Wang;Vimla L. Patel;Robert A. Greenes;Edward H. Shortliffe

  • Affiliations:

  • Decision Systems Group, Brigham and Women's Hospital, Harvard Medical School, Boston, MA and Eclipsys Corporation, Boston, MA;Department of Management Information Systems, Unirersity of Haifa, Israel;Stanford Medical Informatics, Stanford University, Stanford, CA;Decision Systems Group, Brigham and Women's Hospital, Harvard Medical School, Boston, MA;Decision Systems Group, Brigham and Women's Hospital, Harvard Medical School, Boston, MA;Department of Biomedical Informatics, Columbia University, New York, NY;Department of Biomedical Informatics, Columbia University, New York, NY;Decision Systems Group, Brigham and Women's Hospital, Harvard Medical School, Boston, MA;Department of Biomedical Informatics, Columbia University, New York, NY

  • Venue:
  • Journal of Biomedical Informatics
  • Year:
  • 2004

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Abstract

The Guideline Interchange Format (GLIF) is a model for representation of sharable computer-interpretable guidelines. The current version of GLIF (GLIF3) is a substantial update and enhancement of the model since the previous version (GLIF2). GLIF3 enables encoding of a guideline at three levels: a conceptual flowchart, a computable specification that can be verified for logical consistency and completeness, and an implementable specification that is intended to be incorporated into particular institutional information systems. The representation has been tested on a wide variety of guidelines that are typical of the range of guidelines in clinical use. It builds upon GLIF2 by adding several constructs that enable interpretation of encoded guidelines in computer-based decision-support systems. GLIF3 leverages standards being developed in Health Level 7 in order to allow integration of guidelines with clinical information systems. The GLIF3 specification consists of an extensible object-oriented model and a structured syntax based on the resource description framework (RDF). Empirical validation of the ability to generate appropriate recommendations using GLIF3 has been tested by executing encoded guidelines against actual patient data. GLIF3 is accordingly ready for broader experimentation and prototype use by organizations that wish to evaluate its ability to capture the logic of clinical guidelines, to implement them in clinical systems, and thereby to provide integrated decision support to assist clinicians.