An Intelligent and Data-Driven Decision Support Solution for the Online Surgery Scheduling Problem

In operational business situations it is necessary to be aware of and to understand what happens around you and what probably will happen in the near future to make optimal decisions. For example, Online Surgery Scheduling is the planning and control task of Operating Room Management and includes decisions that are difficult to deal with due to high cognitive and communicational efforts to gather the needed information. In addition, several uncertainties like complications, cancellations and emergencies as well as the need to monitor and control the interventions during execution distinguish the operational decision tasks in surgery scheduling from the tactical and strategical planning decisions. However, the emerging trend of connecting devices and intelligent methods in analytics, facilitate innovative approaches for decision support in this area. With the utilization of these concepts, we propose a data-driven approach for a Decisions Support System including components for monitoring, prediction and optimization in Online Surgery Scheduling.

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