Efficient patient flow is crucial for healthcare systems and facilities, as it enhances resource allocation—including personnel, equipment, and facilities—optimizes capacity, reduces operational costs, improves the quality of medical care, accelerates emergency response times, minimizes errors and delays, and increases patient satisfaction. In this module, we will analyze an inpatient care dataset using both a Hybrid Quantum Machine Learning model and a Pure Quantum Machine Learning model to predict patient flow situations.
Learning Objectives: After completing this module, students will be able to:
(i) Describe patient flow in healthcare systems.
(ii) Explain the significance of patient flow.
(iii) Apply the knowledge acquired in this module to analyze and predict patient flow characteristics using various quantum machine learning models.