Optimizing MRI Scheduling in High-Complexity Hospitals: A Digital Twin and Reinforcement Learning Approach

Optimizing MRI Scheduling in High-Complexity Hospitals: A Digital Twin and Reinforcement Learning Approach

Magnetic Resonance Imaging (MRI) services in high-complexity hospitals often suffer from operational inefficiencies, including suboptimal MRI machine utilization, prolonged patient waiting times, and inequitable service delivery across clinical priority levels. Addressing these challenges requires i...

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Bibliographic Details
Main Authors: Fabián Silva-Aravena, Jenny Morales, Manoj Jayabalan, Paula Sáez
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Bioengineering
Subjects:
digital twin
reinforcement learning
MRI scheduling
patient waitlist prioritization
healthcare operations optimization
Online Access:https://www.mdpi.com/2306-5354/12/6/626
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