Literature DB >> 15196480

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

Aziz A Boxwala1, Mor Peleg, Samson Tu, Omolola Ogunyemi, Qing T Zeng, Dongwen Wang, Vimla L Patel, Robert A Greenes, Edward H Shortliffe.   

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.

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Year:  2004        PMID: 15196480     DOI: 10.1016/j.jbi.2004.04.002

Source DB:  PubMed          Journal:  J Biomed Inform        ISSN: 1532-0464            Impact factor:   6.317


  48 in total

1.  Analyzing the heterogeneity and complexity of Electronic Health Record oriented phenotyping algorithms.

Authors:  Mike Conway; Richard L Berg; David Carrell; Joshua C Denny; Abel N Kho; Iftikhar J Kullo; James G Linneman; Jennifer A Pacheco; Peggy Peissig; Luke Rasmussen; Noah Weston; Christopher G Chute; Jyotishman Pathak
Journal:  AMIA Annu Symp Proc       Date:  2011-10-22

Review 2.  GEM at 10: a decade's experience with the Guideline Elements Model.

Authors:  Negin Hajizadeh; Nitu Kashyap; George Michel; Richard N Shiffman
Journal:  AMIA Annu Symp Proc       Date:  2011-10-22

3.  A multi-layered framework for disseminating knowledge for computer-based decision support.

Authors:  Aziz A Boxwala; Beatriz H Rocha; Saverio Maviglia; Vipul Kashyap; Seth Meltzer; Jihoon Kim; Ruslana Tsurikova; Adam Wright; Marilyn D Paterno; Amanda Fairbanks; Blackford Middleton
Journal:  J Am Med Inform Assoc       Date:  2011-11-03       Impact factor: 4.497

4.  Customer-centered careflow modeling based on guidelines.

Authors:  Biqing Huang; Peng Zhu; Cheng Wu
Journal:  J Med Syst       Date:  2012-02-09       Impact factor: 4.460

5.  Collaboration between the medical informatics community and guideline authors: fostering HIT standard development that matters.

Authors:  Paul G Biondich; Stephen M Downs; Aaron E Carroll; Richard N Shiffman; Clement J McDonald
Journal:  AMIA Annu Symp Proc       Date:  2006

6.  Use of declarative statements in creating and maintaining computer-interpretable knowledge bases for guideline-based care.

Authors:  Samson W Tu; Karen M Hrabak; James R Campbell; Julie Glasgow; Mark A Nyman; Robert McClure; James McClay; Robert Abarbanel; James G Mansfield; Susana M Martins; Mary K Goldstein; Mark A Musen
Journal:  AMIA Annu Symp Proc       Date:  2006

7.  Integrating evidence into clinical information systems for nursing decision support.

Authors:  Suzanne Bakken; Leanne M Currie; Nam-Ju Lee; W Dan Roberts; Sarah A Collins; James J Cimino
Journal:  Int J Med Inform       Date:  2007-09-29       Impact factor: 4.046

8.  The SAGE Guideline Model: achievements and overview.

Authors:  Samson W Tu; James R Campbell; Julie Glasgow; Mark A Nyman; Robert McClure; James McClay; Craig Parker; Karen M Hrabak; David Berg; Tony Weida; James G Mansfield; Mark A Musen; Robert M Abarbanel
Journal:  J Am Med Inform Assoc       Date:  2007-06-28       Impact factor: 4.497

9.  A pattern-based analysis of clinical computer-interpretable guideline modeling languages.

Authors:  Nataliya Mulyar; Wil M P van der Aalst; Mor Peleg
Journal:  J Am Med Inform Assoc       Date:  2007-08-21       Impact factor: 4.497

10.  Computable Phenotype Implementation for a National, Multicenter Pragmatic Clinical Trial: Lessons Learned From ADAPTABLE.

Authors:  Faraz S Ahmad; Iben M Ricket; Bradley G Hammill; Lisa Eskenazi; Holly R Robertson; Lesley H Curtis; Cecilia D Dobi; Saket Girotra; Kevin Haynes; Jorge R Kizer; Sunil Kripalani; Mathew T Roe; Christianne L Roumie; Russ Waitman; W Schuyler Jones; Mark G Weiner
Journal:  Circ Cardiovasc Qual Outcomes       Date:  2020-05-29
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