Literature DB >> 20351823

Consequences of the verification of completeness in clinical practice guideline modeling: a theoretical and empirical study with hypertension.

J Bouaud1, B Séroussi, H Falcoff, J Julien, C Simon, D L Denké.   

Abstract

Building clinical decision support systems requires a formalization of clinical practice guidelines (CPGs) including the verification of completeness to ensure all medically relevant situations are addressed. Recommendations that rely on completed knowledge cannot be but expert-based. Using French hypertension management guidelines, we characterized the status of a patient profile as evidence-based (EB), consensus-based (CB), or expert-based (XB). The distribution of these status on the formal patient profiles of ASTIGM knowledge base showed that 12.6% (0.5% EB and 12.1% CB) lead to explicit CPG recommendations. The same analysis on a sample of 435 actual patients medical records showed that 55% were covered by CPGs. The characterization of guideline-based CDSSs should be based on empirical data estimated from the target population of CPGs.

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Year:  2009        PMID: 20351823      PMCID: PMC2815437     

Source DB:  PubMed          Journal:  AMIA Annu Symp Proc        ISSN: 1559-4076


  6 in total

1.  ASTI: a guideline-based drug-ordering system for primary care.

Authors:  B Séroussi; J Bouaud; H Dréau; H Falcoff; C Riou; M Joubert; C Simon; G Simon; A Venot
Journal:  Stud Health Technol Inform       Date:  2001

2.  Does GEM-encoding clinical practice guidelines improve the quality of knowledge bases? A study with the rule-based formalism.

Authors:  Georg Georg; Brigitte Séroussi; Jacques Bouaud
Journal:  AMIA Annu Symp Proc       Date:  2003

3.  Bridging the guideline implementation gap: a systematic, document-centered approach to guideline implementation.

Authors:  Richard N Shiffman; George Michel; Abdelwaheb Essaihi; Elizabeth Thornquist
Journal:  J Am Med Inform Assoc       Date:  2004-06-07       Impact factor: 4.497

Review 4.  Effects of computerized clinical decision support systems on practitioner performance and patient outcomes: a systematic review.

Authors:  Amit X Garg; Neill K J Adhikari; Heather McDonald; M Patricia Rosas-Arellano; P J Devereaux; Joseph Beyene; Justina Sam; R Brian Haynes
Journal:  JAMA       Date:  2005-03-09       Impact factor: 56.272

5.  Scientific evidence underlying the ACC/AHA clinical practice guidelines.

Authors:  Pierluigi Tricoci; Joseph M Allen; Judith M Kramer; Robert M Califf; Sidney C Smith
Journal:  JAMA       Date:  2009-02-25       Impact factor: 56.272

6.  The Yale Guideline Recommendation Corpus: a representative sample of the knowledge content of guidelines.

Authors:  Tamseela Hussain; George Michel; Richard N Shiffman
Journal:  Int J Med Inform       Date:  2009-01-07       Impact factor: 4.046

  6 in total
  2 in total

1.  Representation of Clinical Nursing Protocols Using GEM II & GEM Cutter.

Authors:  Karen A Koch; Michael W Woodcock; Marcelline R Harris
Journal:  AMIA Annu Symp Proc       Date:  2010-11-13

2.  Helping GPs to extrapolate guideline recommendations to patients for whom there are no explicit recommendations, through the visualization of drug properties. The example of AntibioHelp® in bacterial diseases.

Authors:  Rosy Tsopra; Karima Sedki; Mélanie Courtine; Hector Falcoff; Antoine De Beco; Ronni Madar; Frédéric Mechaï; Jean-Baptiste Lamy
Journal:  J Am Med Inform Assoc       Date:  2019-10-01       Impact factor: 4.497

  2 in total

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