Literature DB >> 12463901

Providing context-sensitive decision-support based on WHO guidelines.

Heta N Ray1, Aziz A Boxwala, Vishwanath Anantraman, Lucila Ohno-Machado.   

Abstract

A decision support system was developed implementing the WHO guideline for diarrhea management. The decision-support system is integrated into a medical records application on a handheld computer. The system will be used by primary health care workers in rural India. The guideline was encoded as a set of chained rules in CLIPS format. To enhance adherence to guidelines, we use a model based on a context-adapted guideline to provide decision support at the point of care in a particular setting. The purpose of the system is to tailor the recommendations based on the patient's condition and the local factors such as resource availability in order to create feasible uniformity in a practice across different providers of care.

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Mesh:

Year:  2002        PMID: 12463901      PMCID: PMC2244156     

Source DB:  PubMed          Journal:  Proc AMIA Symp        ISSN: 1531-605X


  4 in total

1.  Toward a representation format for sharable clinical guidelines.

Authors:  A A Boxwala; S Tu; M Peleg; Q Zeng; O Ogunyemi; R A Greenes; E H Shortliffe; V L Patel
Journal:  J Biomed Inform       Date:  2001-06       Impact factor: 6.317

2.  Computerized decision support based on a clinical practice guideline improves compliance with care standards.

Authors:  D F Lobach; W E Hammond
Journal:  Am J Med       Date:  1997-01       Impact factor: 4.965

3.  Development of guidelines for general practice care.

Authors:  R Grol
Journal:  Br J Gen Pract       Date:  1993-04       Impact factor: 5.386

4.  Effects of computer-based clinical decision support systems on clinician performance and patient outcome. A critical appraisal of research.

Authors:  M E Johnston; K B Langton; R B Haynes; A Mathieu
Journal:  Ann Intern Med       Date:  1994-01-15       Impact factor: 25.391

  4 in total
  1 in total

1.  A retrospective analysis of interruptive versus non-interruptive clinical decision support for identification of patients needing contact isolation.

Authors:  J M Pevnick; X Li; J Grein; D S Bell; P Silka
Journal:  Appl Clin Inform       Date:  2013-12-04       Impact factor: 2.342

  1 in total

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