This paper presents a modular, patient-centered scheduling framework for medical appointments based on Answer Set Programming (ASP). The system integrates Blueprint Personas—structured patient models reflecting clinical, cognitive, and social factors, to enable personalized and ethically informed decisions. We validate the approach through simulations with up to 2000 patients across scenarios of increasing complexity. Results show that the system efficiently generates optimal, constraint-compliant schedules in real time, with linear scalability. This confirms the effectiveness of ASP as a transparent and adaptable tool for healthcare scheduling.
Scalable and Ethical Medical Scheduling: An ASP-Based Framework with Patient-Centered Experimental Validation
Vozna, Alina;Monaldini, Andrea;
2025-01-01
Abstract
This paper presents a modular, patient-centered scheduling framework for medical appointments based on Answer Set Programming (ASP). The system integrates Blueprint Personas—structured patient models reflecting clinical, cognitive, and social factors, to enable personalized and ethically informed decisions. We validate the approach through simulations with up to 2000 patients across scenarios of increasing complexity. Results show that the system efficiently generates optimal, constraint-compliant schedules in real time, with linear scalability. This confirms the effectiveness of ASP as a transparent and adaptable tool for healthcare scheduling.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
