Does an ML-assisted predict-then-optimize scheduling system improve operating room efficiency and decrease overtime in elective orthopedic surgery?
An ML-assisted scheduling system improves operating room efficiency and reduces overtime for elective orthopedic surgeries.
Assuming a full waiting list, optimizing an individual surgeon's elective operating room time using an ML-assisted predict-then-optimize scheduling system improves overall operating room efficiency, significantly decreasing overtime. This has significant potential implications for health care systems struggling with pressures of rising costs and growing operative waitlists.
Lex et al. (Tue,) studied this question.