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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
Summary
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:
- 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.