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Optimising CT scanner access times through data-driven appointment scheduling

Geerts, F. (2025) Optimising CT scanner access times through data-driven appointment scheduling.

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Abstract:The healthcare industry is under increasing pressure due to growing demand and limited resources. Interviews with hospital staff, observation studies and data review revealed that while demand is high, the current appointment schedule does not align with the high volume of walk-in and unplanned arrivals. This mismatch leads to inefficient scanner use, increased waiting times, and high access times. With the help of discrete event simulation and simulated annealing, we came up with an appointment schedule that better aligns supply and demand.
Item Type:Essay (Master)
Clients:
UMC Utrecht, Utrecht, The Netherlands
Faculty:BMS: Behavioural, Management and Social Sciences
Subject:44 medicine, 50 technical science in general, 58 process technology, 85 business administration, organizational science
Programme:Industrial Engineering and Management MSc (60029)
Link to this item:https://purl.utwente.nl/essays/106389
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