Online Surgery Rescheduling - A Data-driven Approach for Real-time Decision Support
Norman Spangenberg , Moritz Wilke , Christoph Augenstein , Bogdan Franczyk
AbstractThe operating room area is still one of the most expensive sections in the hospital due to its high and cost-intensive resource requirements. Further, several uncertainties like complications, cancellations and emergencies as well as the need to monitor and control the interventions during execution distinguish the operational planning tasks of surgery scheduling from more tactical and strategical planning activities. However there are few solutions that support monitoring and decision-making in operating room management at this level since they focus on creation of initial schedules or the efficient resource allocation. In this paper we describe a solution approach for supporting online surgery scheduling by a real-time decision support system. It allows the rescheduling based on intra-surgical information about the current surgical phases and predictions about remaining intervention times and further allows replanning due to emergent or canceled patients.
|Publication size in sheets||0.5|
|Book||Filipe Joaquim, Smialek Michal, Camp Oliver, Hammoudi Slimane (eds.): Proceedings of the 20th International Conference on Enterprise Information Systems - (Volume 1), 2018, SciTePress, ISBN 9789897582981, 718 p.|
|Keywords in English||Online Surgery Scheduling, Decision Support System, Operating Room Management, Real-time Architecture|
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