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Updated: May 23, 2026

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
Published on: June 13, 2025
Argumentation logic for the flexible enactment of goal-based medical guidelines
Maria Adela Grando1, David Glasspool, Aziz Boxwala
1Division of Biomedical Informatics, School of Medicine, University of California San Diego, 9500 Gilman Drive #0728, La Jolla, CA 92093-0728, USA. mgrando@ucsd.edu
Unlabelled:
RESEARCH PURPOSE: We have designed a prototype clinical workflow system that allows the specification and enactment of medical guidelines in terms of clinical goals to be achieved, maintained or avoided depending on the patient's disease and treatment evolution. The prototype includes: (1) an argumentation-based decision support system which can be used both to represent medical decisions within guidelines, and to dynamically choose the most suitable plans to achieve clinical goals, and (2) mechanisms to specify a health organization's facilities and health workers skills and roles, which can be taken into account during the decision process in order to improve quality of care.
Results:
The framework has been fully implemented in the COGENT formal modeling system. The prototype has been evaluated implementing a hypertension guideline.
Conclusions:
The framework has shown flexibility and adaptability in (1) advising and tailoring health care based on a health organization's resources and a patient's particular medical condition, (2) delegating health care, and (3) replanning when unexpected situations arise.
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