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A design model for computer-based guideline implementation based on information management services.

R N Shiffman1, C A Brandt, Y Liaw

  • 1Center for Medical Informatics, Yale School of Medicine, New Haven, CT 06520-8009, USA. richard.shiffman@yale.edu

Journal of the American Medical Informatics Association : JAMIA
|March 27, 1999
PubMed
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Implementing clinical practice guidelines effectively requires a model integrating decision support with workflow. This computer-based approach uses eight information management services to enhance clinician behavior and patient care.

Area of Science:

  • Health Informatics
  • Clinical Decision Support
  • Evidence-Based Practice

Background:

  • Effective implementation of clinical practice guidelines is crucial for influencing clinician behavior.
  • Current methods often lack seamless integration into clinical workflows.
  • A structured approach is needed to bridge the gap between guidelines and daily practice.

Purpose of the Study:

  • To present a model for computer-based clinical guideline implementation.
  • To identify essential information management services for integrating decision support into clinical workflow.
  • To demonstrate the model's application using evidence-based practice parameters.

Main Methods:

  • Described a model comprising eight distinct information management services.

Related Experiment Videos

  • Detailed the functions of each service: recommendation, documentation, registration, explanation, calculation, communication, presentation, and aggregation.
  • Illustrated the model with examples from American Academy of Pediatrics evidence-based practice parameters.

    • Main Results:

    • The model outlines eight key services for effective guideline implementation.
    • Each service addresses specific needs in integrating decision support into clinical workflow.
    • Examples demonstrate practical application in pediatric evidence-based practice.

    Conclusions:

    • A systematic, service-oriented model can facilitate the integration of clinical guidelines into practice.
    • Computer-based decision support, managed through these services, can enhance guideline adherence.
    • This framework supports improved clinical decision-making and patient outcomes.