MAS-PatientCare: Medical Diagnosis and Patient Management System Based on a Multi-agent Architecture
摘要
This paper presents a multi-agent system MAS-PatientCare, specifically designed to manage patient scheduling, resource allocation and diagnostic processes in hospitals. The system architecture integ-rates specialized agents, each with different responsibilities, including patient management, hospital resource allocation, scheduling, medical specialization, data preprocessing, machine learning, and decision support, to improve operational efficiency and quality of patient care across multiple hospital departments, including colonoscopy and emergency, with the flexibility to add more departments as needed. We explore the interconnectivity and collaboration between these agents, detailing how they interact to ensure seamless operations. To evaluate the effectiveness and practical applicability of the MAS-PatientCare system, it has been tested in two different situations: in emergency situations in hospitals and in the screening process for patients undergoing a colonoscopy. The impact of the MAS-PatientCare system on patient outcomes, particularly in terms of reducing waiting times, improving diagnostic accuracy and improving resource utilisation is analysed.