Literature DB >> 11230382

Domain-constrained generation of clinical condition sets to help test computer-based clinical guidelines.

P L Miller1.   

Abstract

The paper describes T/Gen, a prototype computer-based tool designed to help maintain the knowledge in a computer-based clinical practice guideline that provides patient-specific recommendations. T/Gen takes as input a set of clinical conditions to which a guideline must react, and allows the user to specify domain-specific constraints as to which combinations of conditions do not make sense or do not need to be exhaustively tested against one another. T/Gen automatically generates constrained sets of combinations of clinical conditions, each corresponding to a clinical case (or to several closely related clinical cases) that can be used to help test the computer-based guideline. The combinations can be used to test the guideline logic using T/Gen's built-in logic interpreter, or to generate a set of test cases for use in testing an operational guideline system. T/Gen has been developed and tested with five pilot guidelines, for two childhood immunization series, for influenza vaccination, for primary thyroid screening, and for embryo transplantation. The paper describes how T/Gen's approach is implemented for the five pilot guidelines, outlines the current status and future directions of the project, and discusses the design issues that arose in the course of carrying out the work.

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Year:  2001        PMID: 11230382      PMCID: PMC134553          DOI: 10.1136/jamia.2001.0080131

Source DB:  PubMed          Journal:  J Am Med Inform Assoc        ISSN: 1067-5027            Impact factor:   4.497


  11 in total

1.  Distributing knowledge maintenance for clinical decision-support systems: the "knowledge library" model.

Authors:  A Geissbuhler; R A Miller
Journal:  Proc AMIA Symp       Date:  1999

2.  A process to maintain the quality of a computerized knowledge base.

Authors:  G J Kuperman; J M Fiskio; A Karson
Journal:  Proc AMIA Symp       Date:  1999

3.  Using semantic constraints to help verify the completeness of a computer-based clinical guideline for childhood immunization.

Authors:  D W Miller; S J Frawley; P L Miller
Journal:  Comput Methods Programs Biomed       Date:  1999-03       Impact factor: 5.428

4.  The evaluation of clinical decision support systems: what is necessary versus what is interesting.

Authors:  P L Miller; D F Sittig
Journal:  Med Inform (Lond)       Date:  1990 Jul-Sep

5.  Clinical guideline, part 1. Screening for thyroid disease. American College of Physicians.

Authors: 
Journal:  Ann Intern Med       Date:  1998-07-15       Impact factor: 25.391

6.  Evolution of a knowledge base for a clinical decision support system encoded in the Arden Syntax.

Authors:  R A Jenders; H Huang; G Hripcsak; P D Clayton
Journal:  Proc AMIA Symp       Date:  1998

7.  Combining tabular, rule-based, and procedural knowledge in computer-based guidelines for childhood immunization.

Authors:  P L Miller; S J Frawley; F G Sayward; W A Yasnoff; L Duncan; D W Fleming
Journal:  Comput Biomed Res       Date:  1997-06

8.  The guideline interchange format: a model for representing guidelines.

Authors:  L Ohno-Machado; J H Gennari; S N Murphy; N L Jain; S W Tu; D E Oliver; E Pattison-Gordon; R A Greenes; E H Shortliffe; G O Barnett
Journal:  J Am Med Inform Assoc       Date:  1998 Jul-Aug       Impact factor: 4.497

9.  Clinical guideline, part 2. Screening for thyroid disease: an update. American College of Physicians.

Authors:  M Helfand; C C Redfern
Journal:  Ann Intern Med       Date:  1998-07-15       Impact factor: 25.391

10.  Prevention and control of influenza recommendations of the Advisory Committee on Immunization Practices (ACIP). Centers for Disease Control and Prevention.

Authors: 
Journal:  MMWR Recomm Rep       Date:  1995-04-21
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  1 in total

Review 1.  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

  1 in total

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