An ASP-based Solution to the Medical Appointment Scheduling Problem
This addresses scheduling inefficiencies and administrative burdens in healthcare, particularly for vulnerable populations, though it appears incremental as it applies an existing method (ASP) to a specific domain.
The paper tackled the medical appointment scheduling problem by developing an Answer Set Programming (ASP)-based framework that personalizes scheduling for vulnerable populations using Blueprint Personas, resulting in improved efficiency, reduced administrative overhead, and enhanced patient-centered care with features like real-time availability updates and conflict-free assignments.
This paper presents an Answer Set Programming (ASP)-based framework for medical appointment scheduling, aimed at improving efficiency, reducing administrative overhead, and enhancing patient-centered care. The framework personalizes scheduling for vulnerable populations by integrating Blueprint Personas. It ensures real-time availability updates, conflict-free assignments, and seamless interoperability with existing healthcare platforms by centralizing planning operations within an ASP logic model.