PhD AI-driven operating room schedule optimization

Health & Technology
Posting date
April 25, 2024
Closing date
May 14, 2024
Duration of position

Optimizing the utilization of operating room (OR) resources is critical for the sustainability of surgical care. The demand for surgical care is increasing and currently surpasses the supply, which is unable to grow due to budgetary restrictions, a shortage of personal staff but also limitations in OR availability. Further enhancing the effective utilization of these OR resources will lower the cost of surgical care and provide a sustainable outlook for the future.

This PhD position focuses on designing mathematical models to optimize the day-to-day scheduling across multiple operating rooms and disciplines to increase OR utilization.

Your day-to-day activities will include:

  • Closely collaborating with surgeons and anesthetists to understand OR workflow.
  • Analyzing surgery duration data.
  • Use AI methods to co-design prediction models with end-users reflecting realization in practice.
  • Use surgery duration predictions to co-design robust OR-schedules with operations research methods.
  • Develop a tool indicating the probability of overtime for each operating room in real-time.

The result of this project will be an increase in efficiency, safety, and quality of care, and a decrease in perceived workload and healthcare costs.