Literature DB >> 11734393

Design and implementation of a framework to support the development of clinical guidelines.

P A de Clercq1, A Hasman, J A Blom, H H Korsten.   

Abstract

This paper describes and discusses a framework that facilitates the development of clinical guideline application tasks. The framework, named GASTON covers all stages in the guideline development process, ranging from the definition of models that represent guidelines to the implementation of run-time systems that provide decision support, based on the guidelines that were developed during the earlier stages. The GASTON framework consists of (1) a newly developed guideline representation formalism that uses the concepts of primitives, problem-solving methods (PSMs) and ontologies to represent the guidelines of various complexity and granularity and different application domains, (2) a guideline authoring environment that enables guideline authors to define the guidelines, based on the newly developed guideline representation formalism and (3) a guideline execution environment that translates defined guidelines into a more efficient symbol level representation, which can be read in and processed by an execution time engine. The paper describes a number of design criteria that were formulated regarding the aspects of guideline representation, guideline authoring and guideline execution and explains the framework by example in terms of the four stages that were identified in the guideline development process and the tools that were developed to support each stage. It also shows examples of systems that were developed by means of the GASTON framework.

Mesh:

Year:  2001        PMID: 11734393     DOI: 10.1016/s1386-5056(01)00189-7

Source DB:  PubMed          Journal:  Int J Med Inform        ISSN: 1386-5056            Impact factor:   4.046


  14 in total

1.  Distributed guidelines (DiG): a software framework for extending automated health decision support to the general population.

Authors:  Edwin Yaqub; Andre Barroso
Journal:  Perspect Health Inf Manag       Date:  2010-09-01

2.  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

3.  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

Review 4.  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

5.  An electronic system to document reasons for medication discontinuation and to flag unwanted represcriptions in geriatric patients.

Authors:  Carolien M J van der Linden; Paul A F Jansen; Rob J van Marum; René J E Grouls; Toine C G Egberts; Erik H M Korsten
Journal:  Drugs Aging       Date:  2012-12       Impact factor: 3.923

6.  Constructing Clinical Decision Support Systems for Adverse Drug Event Prevention: A Knowledge-based Approach.

Authors:  Vassilis Koutkias; Vassilis Kilintzis; George Stalidis; Katerina Lazou; Chrysa Collyda; Emmanuel Chazard; Peter McNair; Regis Beuscart; Nicos Maglaveras
Journal:  AMIA Annu Symp Proc       Date:  2010-11-13

7.  Transformation of the National Breast Cancer Guideline Into Data-Driven Clinical Decision Trees.

Authors:  Mathijs P Hendriks; Xander A A M Verbeek; Thijs van Vegchel; Maurice J C van der Sangen; Luc J A Strobbe; Jos W S Merkus; Harmien M Zonderland; Carolien H Smorenburg; Agnes Jager; Sabine S Siesling
Journal:  JCO Clin Cancer Inform       Date:  2019-05

Review 8.  Clinical Decision Support Systems.

Authors:  Andreas Teufel; Harald Binder
Journal:  Visc Med       Date:  2021-09-28

9.  A Knowledge-Modeling Approach to Integrate Multiple Clinical Practice Guidelines to Provide Evidence-Based Clinical Decision Support for Managing Comorbid Conditions.

Authors:  Samina Abidi
Journal:  J Med Syst       Date:  2017-10-26       Impact factor: 4.460

10.  Free and open source enabling technologies for patient-centric, guideline-based clinical decision support: a survey.

Authors:  T Y Leong; K Kaiser; S Miksch
Journal:  Yearb Med Inform       Date:  2007
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.