An ASP-based Solution to the Medical Appointment Scheduling Problem
Alina Vozna (University of Pisa, University of L'Aquila), Andrea Monaldini (University of Pisa, University of L'Aquila), Stefania Costantini (University of L'Aquila), Valentina Pitoni (University of l'Aquila), Dawid Pado (University of l'Aquila)
TL;DR
This paper introduces an ASP-based framework for medical appointment scheduling that personalizes, optimizes, and integrates scheduling processes to improve healthcare efficiency and patient care.
Contribution
It develops a novel ASP-based approach that personalizes scheduling for vulnerable groups and ensures real-time updates and interoperability with healthcare systems.
Findings
Enhanced scheduling efficiency and personalization.
Conflict-free appointment assignments.
Seamless integration with healthcare platforms.
Abstract
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.
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Taxonomy
TopicsPersona Design and Applications · Multimodal Machine Learning Applications · Speech and dialogue systems