Literature DB >> 15488745

Design and implementation of the GLIF3 guideline execution engine.

Dongwen Wang1, Mor Peleg, Samson W Tu, Aziz A Boxwala, Omolola Ogunyemi, Qing Zeng, Robert A Greenes, Vimla L Patel, Edward H Shortliffe.   

Abstract

We have developed the GLIF3 Guideline Execution Engine (GLEE) as a tool for executing guidelines encoded in the GLIF3 format. In addition to serving as an interface to the GLIF3 guideline representation model to support the specified functions, GLEE provides defined interfaces to electronic medical records (EMRs) and other clinical applications to facilitate its integration with the clinical information system at a local institution. The execution model of GLEE takes the "system suggests, user controls" approach. A tracing system is used to record an individual patient's state when a guideline is applied to that patient. GLEE can also support an event-driven execution model once it is linked to the clinical event monitor in a local environment. Evaluation has shown that GLEE can be used effectively for proper execution of guidelines encoded in the GLIF3 format. When using it to execute each guideline in the evaluation, GLEE's performance duplicated that of the reference systems implementing the same guideline but taking different approaches. The execution flexibility and generality provided by GLEE, and its integration with a local environment, need to be further evaluated in clinical settings. Integration of GLEE with a specific event-monitoring and order-entry environment is the next step of our work to demonstrate its use for clinical decision support. Potential uses of GLEE also include quality assurance, guideline development, and medical education.

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Year:  2004        PMID: 15488745     DOI: 10.1016/j.jbi.2004.06.002

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


  23 in total

1.  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

2.  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

3.  Applying Hybrid-Asbru clinical guidelines using the Spock system.

Authors:  Ohad Young; Yuval Shahar
Journal:  AMIA Annu Symp Proc       Date:  2005

4.  Proposal for fulfilling strategic objectives of the U.S. Roadmap for national action on clinical decision support through a service-oriented architecture leveraging HL7 services.

Authors:  Kensaku Kawamoto; David F Lobach
Journal:  J Am Med Inform Assoc       Date:  2007-01-09       Impact factor: 4.497

5.  A four-phase model of the evolution of clinical decision support architectures.

Authors:  Adam Wright; Dean F Sittig
Journal:  Int J Med Inform       Date:  2008-03-19       Impact factor: 4.046

6.  A framework and model for evaluating clinical decision support architectures.

Authors:  Adam Wright; Dean F Sittig
Journal:  J Biomed Inform       Date:  2008-03-25       Impact factor: 6.317

Review 7.  Computerization of workflows, guidelines, and care pathways: a review of implementation challenges for process-oriented health information systems.

Authors:  Phil Gooch; Abdul Roudsari
Journal:  J Am Med Inform Assoc       Date:  2011-07-01       Impact factor: 4.497

8.  Decision Support Provided by a Temporally Oriented Health Care Assistant : An Implementation of Computer-Interpretable Guidelines.

Authors:  Tiago Oliveira; António Silva; José Neves; Paulo Novais
Journal:  J Med Syst       Date:  2016-11-26       Impact factor: 4.460

Review 9.  Personalization and Patient Involvement in Decision Support Systems: Current Trends.

Authors:  S Quaglini; L Sacchi; G Lanzola; N Viani
Journal:  Yearb Med Inform       Date:  2015-08-13

10.  Enhancement of decision rules to increase generalizability and performance of the rule-based system assessing risk for pressure ulcer.

Authors:  J Choi; H Kim
Journal:  Appl Clin Inform       Date:  2013-06-05       Impact factor: 2.342

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