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Related Experiment Videos

Hypertextual navigation operationalizing generic clinical practice guidelines for patient-specific therapeutic

J Bouaud1, B Séroussi, E C Antoine

  • 1Service d'Informatique Médicale, AP-HP & Département de Biomathématiques, Université Paris 6, France.

Proceedings. AMIA Symposium
|February 3, 1999
PubMed
Summary

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This study introduces ONCODOC, a knowledge-based system for clinical practice guidelines in oncology. It supports breast cancer treatment decisions through an interactive decision tree, improving patient-specific recommendations.

Area of Science:

  • Medical Informatics
  • Oncology
  • Clinical Decision Support

Background:

  • Physician compliance with clinical practice guidelines remains low.
  • There is a need for effective tools to support guideline implementation.

Purpose of the Study:

  • To present the ONCODOC framework for developing generic decision support guidelines.
  • To apply ONCODOC to breast cancer treatment for patient-specific recommendations.

Main Methods:

  • A knowledge-based approach using a document-paradigm.
  • Therapeutic expertise encoded as an interactive hypertext decision tree.
  • Clinician-driven navigation and parameter assignment for personalized recommendations.

Main Results:

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  • ONCODOC provides patient-specific therapeutic recommendations.
  • Guidelines are distributed via a hospital intranet.
  • Evaluation at the point of care in an oncology department.

    • Conclusions:

    • The ONCODOC framework offers a viable approach to enhance guideline compliance.
    • Interactive decision support systems can improve clinical decision-making in oncology.
    • The system facilitates the integration of expertise into clinical workflows.