20.500.12556/DKUM-91901 Radiotherapy department supported by an optimization algorithm for scheduling patient appointments Prompt administration of radiotherapy (RT) is one of the most effective treatments against cancer. Eachday, the radiotherapy departments of large hospitals must plan numerous irradiation sessions, con-sidering the availability of human and material resources, such as healthcare professionals and linearaccelerators. With the increasing number of patients suffering from different types of cancers, manuallyestablishing schedules following each patient’s treatment protocols has become an extremely difficultand time-consuming task. We propose an optimization algorithm that automatically schedules andgenerates patient appointments. The model can rearrange fixed appointments to accommodate urgentcases, enabling hospitals to schedule appointments more efficiently. It respects the different treatment Prompt administration of radiotherapy (RT) is one of the most effective treatments against cancer. Eachday, the radiotherapy departments of large hospitals must plan numerous irradiation sessions, con-sidering the availability of human and material resources, such as healthcare professionals and linearaccelerators. With the increasing number of patients suffering from different types of cancers, manuallyestablishing schedules following each patient’s treatment protocols has become an extremely difficultand time-consuming task. We propose an optimization algorithm that automatically schedules andgenerates patient appointments. The model can rearrange fixed appointments to accommodate urgentcases, enabling hospitals to schedule appointments more efficiently. It respects the different treatment. appointments hospital management optimization algorithm patient satisfaction planning radiotherapy optimizacija algoritmov zadovoljstvo pacientov planiranje radioterapija true true false Angleški jezik Slovenski jezik https://journals.sagepub.com/doi/epub/10.1177/14604582251318252 Neznano 2025-02-25 11:03:50 2025-02-25 11:03:51 2025-02-26 03:09:23 0000-00-00 00:00:00 2025 0 0 17 str. ǂVol. ǂ31 ǂiss. ǂ1 Jan. 2025 0000-00-00 Zaloznikova Objavljeno NiDoloceno 2024-11-07 2025-01-02 2025-02-17 004.8:616.82/.84 227213059 10.1177/14604582251318252 1741-2811 marcela-et-al-2025-radiotherapy-department-supported-by-an-optimization-algorithm-for-scheduling-patient-appointments.pdf marcela-et-al-2025-radiotherapy-department-supported-by-an-optimization-algorithm-for-scheduling-patient-appointments.pdf 1 D7E15A7A4DBA734C52B562CC5F550A09 3ec7d4cb13192bc323b8b171fd11ac9668255ad3ea25fcc54118e7d9c568dad2 edddab1b-f360-11ef-a858-00155d000105 https://dk.um.si/Dokument.php?lang=slv&id=188819 Fakulteta za elektrotehniko, računalništvo in informatiko 0 0 0