AIFeb 20, 2019

Resolving Conflicts in Clinical Guidelines using Argumentation

arXiv:1902.07526v117 citations
Originality Incremental advance
AI Analysis

This addresses patient-centric medical reasoning for clinicians and patients, but it is incremental as it builds on existing models.

The paper tackles the problem of automatically resolving conflicts in clinical guidelines by incorporating patient-specific conditions and preferences, resulting in a formalism that yields non-conflicting, goal-maximizing, and preference-respecting recommendations.

Automatically reasoning with conflicting generic clinical guidelines is a burning issue in patient-centric medical reasoning where patient-specific conditions and goals need to be taken into account. It is even more challenging in the presence of preferences such as patient's wishes and clinician's priorities over goals. We advance a structured argumentation formalism for reasoning with conflicting clinical guidelines, patient-specific information and preferences. Our formalism integrates assumption-based reasoning and goal-driven selection among reasoning outcomes. Specifically, we assume applicability of guideline recommendations concerning the generic goal of patient well-being, resolve conflicts among recommendations using patient's conditions and preferences, and then consider prioritised patient-centered goals to yield non-conflicting, goal-maximising and preference-respecting recommendations. We rely on the state-of-the-art Transition-based Medical Recommendation model for representing guideline recommendations and augment it with context given by the patient's conditions, goals, as well as preferences over recommendations and goals. We establish desirable properties of our approach in terms of sensitivity to recommendation conflicts and patient context.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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