Abstract. Efficient scheduling of patient appointments on expensive resources is a complex and dynamic task. A resource is typically used by several patient groups. To service these groups, resource capacity is often allocated per group, explicitly or implicitly. Importantly, due to fluctuations in demand, for the most efficient use of resources this allocation must be flexible. We present an adaptive approach to automatic optimization of resource calendars. In our approach, the allocation of capacity to different patient groups is flexible and adaptive to the current and expected future situation. We additionally present an approach to determine optimal resource openings hours on a larger time frame. Our model and its parameter values are based on extensive case analysis at the AMC hospital. We have implemented a comprehensive computer simulation of the application case. The results of our simulation experiments show that our approach can effectively schedule patients groups with different attributes and make efficient use of capacity.
Vermeulen et al. REF present an adaptive approach to automatic optimization of resource calendars.
Adaptive resource allocation for efficient patient scheduling
Artificial intelligence in Medicine
Computer Science Medicine