Appointment Demand Forecasting and Slot Optimisation: AI-Based Solutions for Equitable Patient Scheduling and Healthcare Access Improvement

Authors

  • Sébastien Lachapelle Associate Professor of Geomatics Engineering, University of Calgary

Keywords:

appointment demand forecasting, slot optimisation, solutions, equitable patient scheduling, machine learning

Abstract

One of the most pressing issues that must be addressed to optimally manage patient demand increasing at an astronomical rate is to come up with efficient means for coordinating patient care. This coordination involves effective patient scheduling aiming to minimize patient waiting times while at the same time making optimal use of practitioners and resources such as imaging facilities and day surgery theaters.

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Published

30-06-2021

How to Cite

[1]
“Appointment Demand Forecasting and Slot Optimisation: AI-Based Solutions for Equitable Patient Scheduling and Healthcare Access Improvement”, J. Computational Intel. & Robotics, vol. 1, no. 1, pp. 56–65, Jun. 2021, Accessed: Jun. 04, 2026. [Online]. Available: https://thesciencebrigade.com/jcir/article/view/712