appointments; hospital management; optimization algorithm; patient satisfaction; planning; radiotherapy; Humans; Appointments and Schedules; Algorithms; Radiotherapy/methods; Efficiency, Organizational; Neoplasms; Health Informatics
Abstract :
[en] Prompt administration of radiotherapy (RT) is one of the most effective treatments against cancer. Each day, the radiotherapy departments of large hospitals must plan numerous irradiation sessions, considering the availability of human and material resources, such as healthcare professionals and linear accelerators. With the increasing number of patients suffering from different types of cancers, manually establishing schedules following each patient's treatment protocols has become an extremely difficult and time-consuming task. We propose an optimization algorithm that automatically schedules and generates patient appointments. The model can rearrange fixed appointments to accommodate urgent cases, enabling hospitals to schedule appointments more efficiently. It respects the different treatment protocols and should increase staff and patient satisfaction. The optimization algorithm can be connected to a mobile application allowing patients to accept or refuse appointment changes for rescheduling radiotherapy treatments.
Disciplines :
Public health, health care sciences & services
Author, co-author :
Marcela, Chavez; Liège University Hospital, Liège, Belgium
Silvia, Gonzalez ; Instituto Tecnológico de Castilla y León, Burgos, Spain
Alvaro, Ruiz; Instituto Tecnológico de Castilla y León, Burgos, Spain
Duflot, Patrick ; Centre Hospitalier Universitaire de Liège - CHU > > Secteur Appui méthodologique aux Projets GSI et Planification (APP)
JANSEN, Nicolas ; Centre Hospitalier Universitaire de Liège - CHU > > Service médical de radiothérapie
Mlakar, Izidor; University of Maribor, Maribor, Slovenija
Arioz, Umut ; University of Maribor, Maribor, Slovenija
Safran, Valentino; University of Maribor, Maribor, Slovenija
Kolh, Philippe ; Université de Liège - ULiège > Département des sciences biomédicales et précliniques > Biochimie et physiologie générales, humaines et pathologiques ; Université de Liège - ULiège > GIGA
Marteyn, Van Gasteren ; Instituto Tecnológico de Castilla y León, Burgos, Spain
Language :
English
Title :
Radiotherapy department supported by an optimization algorithm for scheduling patient appointments.
H2020 - 101016834 - HosmartAI - Hospital Smart development based on AI
Funders :
European Commission European Union
Funding text :
The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: The software was the result of a co-creation between Instituto Tecnol\u00F3gico de Castilla y Le\u00F3n (ITCL, Spain) and the University Hospital of Li\u00E8ge (Belgium). The application and the Chabot were collaborative efforts between ITCL and the University of Maribor. Both achievements were part of the HosmartAI project that received funding from the European Union\u2019s Horizon 2020 Research and Innovation programme under grant agreement No 101016834.
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