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Demand forecasting to support optimization of multi-appointment scheduling

Ros, M. (2022) Demand forecasting to support optimization of multi-appointment scheduling.

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Abstract:This research designs a method to create a blueprint schedule with time slots for different patient types as a first step in optimizing multi-appointment scheduling within the Princess Máxima Center (the Máxima). A focus is on the patient flow around an ultrasound appointment. We make a distinction between inpatients and patients from the outpatient clinic or patients who have day-treatment combined. This last group of patients have their ultrasound appointment often combined with an appointment with the treating physician. We forecast the demand for this patient type by the calculation of the ultrasound request distribution based on the distribution of patients that visit the treating physician. We divide the ultrasound requests into three plan terms: emergency-, short-, and long-term requests. We make sure enough ultrasound slots are reserved for emergency requests and support patient planners to spread long-term ultrasound appointments over weekdays since these requests are allowed to deviate from their requested appointment date. We test two interventions where we change the schedules of treating physicians. This results in a more balanced utilisation of the ultrasound over weekdays. The new designed blueprint schedule supports patient planners to schedule appointments. Furthermore, this research mentions performance indicators relevant for multi-appointment scheduling in the Máxima.
Item Type:Essay (Master)
Prinses Máxima Centrum, Utrecht, The Netherlands
Faculty:BMS: Behavioural, Management and Social Sciences
Programme:Industrial Engineering and Management MSc (60029)
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