<p>This case study focuses on the mammography department at the University Hospital of Leuven, which serves a diverse patient population requiring various types of examinations, ranging from simple mammography to more complex procedures involving a combination of mammography, ultrasound and biopsy. Currently, the appointment scheduling process does not differentiate between the types of patients or their specific needs, leading to an imbalanced workload for staff and prolonged waiting times for patients. This paper develops a novel appointment scheduling system for the mammography department. Ten different scheduling scenarios are tested using a simulation model built in Arena Software. The first four scenarios evaluate different scheduling policies, revealing that a schedule tailored to the distinct needs of various patient types significantly improves outcomes compared to the current system or a scenario where patient arrivals are completely random. In the following three scenarios, a schedule with a higher number of appointment slots is implemented, alongside various staffing levels. Despite the increased number of appointments, a well-structured schedule resulted in shorter waiting times, a more balanced workload and reduced access times compared to the current situation. Furthermore, the study suggests that the hospital could consider reducing the number of nurses, as this scenario also demonstrated promising results. Finally, based on the initial insights from the research, the hospital staff proposed a schedule organized by patient type. This schedule was tested using the simulation model, and after some adjustments, the staff decided to proceed with its implementation.</p>