- From: Alan Ruttenberg <alanruttenberg@gmail.com>
- Date: Wed, 24 Oct 2007 11:37:00 -0400
- To: Vipul Kashyap <VKASHYAP1@PARTNERS.ORG>
- Cc: public-semweb-lifesci hcls <public-semweb-lifesci@w3.org>
http://www.glif.org/glif_main.html Clinical practice guidelines and protocols are being applied in diverse areas including policy development, utilization management, education, reference, clinical decision support, conduct of clinical trials, and workflow facilitation. Many parties are engaged in developing guidelines, an arduous task with much redundancy and overlap among the resulting products, but there is little standardization to facilitate sharing or to enable adaptation to local practice settings. GLIF is a specification for structured representation of guidelines. It was developed by the InterMed Collaboratory in order to facilitate sharing of clinical guidelines (Ohno-Machado, Gennari et al. 1998). The InterMed collaboratory was a joint project of medical informatics laboratories at Harvard (the Decision Systems Group at Brigham and Women's Hospital and Laboratory of Computer Science at Massachusetts General Hospital), Stanford, Columbia, and McGill Universities (Shortliffe, Barnett et al. 1996). That work is being continued under new funding by a subgroup of the InterMed collaborators, including the Decision Systems Group at Harvard, McGill, Columbia, Stanford, and the American College of Physicans-American Society of Internal Medicine. The objective of the GLIF specification is to provide a representation for guidelines that have the following characteristics: * Precise * Non-ambiguous * Human-readable * Computable (in the sense that guidelines specified in GLIF may be used for computer-based decision support) * Independent of computing platforms (thus enabling sharing of guidelines) Version 2.0 of GLIF (GLIF2) was published in 1998 (Ohno-Machado, Gennari et al. 1998). That version of GLIF has been the basis for several implementations of guideline-based applications, including one in the Brigham's BICS information system (Zielstorff, Teich et al. 1998). Web-based applications for driving clinical consultations (Boxwala, Greenes et al. 1999), and applications that search for eligible clinical protocols (Ohno-Machado, Wang et al. 1999).
Received on Wednesday, 24 October 2007 15:37:14 UTC