Dynamic Optimization of Hospital Schedules through AI and Digital Twins for Resilient Healthcare – SmartGuard

The project "Dynamic Optimization of Hospital Schedules via AI and Digital Twins for Resilient Healthcare" aims to transform human resource management in healthcare facilities. Faced with growing challenges such as service overload and a shortage of practitioners, exacerbated by the COVID-19 crisis, it has become essential to adopt advanced technological solutions to optimize shift distribution and ensure continuity of care.

This project proposes the combined use of artificial intelligence and digital twins to offer dynamic and adaptive management of hospital schedules. Unlike traditional approaches based on static rules, this solution will take unforeseen events (absences, service overloads) into account in real time and automatically suggest schedule adjustments. The integration of deep reinforcement learning algorithms and multi-agent systems will optimize the distribution of tasks across multiple services and sites, while considering practitioners' preferences, legal constraints, and team compatibility.

The project is distinguished by its proactive and scalable approach. By testing various solutions through a digital twin platform, it aims to enhance hospitals' responsiveness to crises and strengthen the resilience of the healthcare system. This technological innovation seeks not only to reduce the time spent on scheduling but also to improve healthcare workers' quality of life and optimize hospital management processes.