| Title: | Radiotherapy department supported by an optimization algorithm for scheduling patient appointments |
|---|
| Authors: | ID Chavez, Marcela (Author)
ID Gonzalez, Silvia (Author)
ID Alvaro, Ruiz (Author)
ID Patrick, Duflot (Author)
ID Jansen, Nicolas (Author)
ID Mlakar, Izidor (Author)
ID Arioz, Umut (Author)
ID Šafran, Valentino (Author)
ID Kolh, Philippe (Author)
ID Marteyn, Van Gasteren (Author) |
|---|
| Files: |  marcela-et-al-2025-radiotherapy-department-supported-by-an-optimization-algorithm-for-scheduling-patient-appointments.pdf (1,19 MB)
MD5: D7E15A7A4DBA734C52B562CC5F550A09
|
|---|
| Language: | English |
|---|
| Work type: | Unknown |
|---|
| Typology: | 1.01 - Original Scientific Article |
|---|
| Organization: | FERI - Faculty of Electrical Engineering and Computer Science
|
|---|
| Abstract: | 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. |
|---|
| Keywords: | appointments, hospital management, optimization algorithm, patient satisfaction, planning, radiotherapy |
|---|
| Publication status: | Published |
|---|
| Publication version: | Version of Record |
|---|
| Submitted for review: | 07.11.2024 |
|---|
| Article acceptance date: | 02.01.2025 |
|---|
| Publication date: | 17.02.2025 |
|---|
| Year of publishing: | 2025 |
|---|
| Number of pages: | 17 str. |
|---|
| Numbering: | ǂiss. ǂ1, ǂVol. ǂ31 |
|---|
| PID: | 20.500.12556/DKUM-91901  |
|---|
| UDC: | 004.8:616.82/.84 |
|---|
| ISSN on article: | 1741-2811 |
|---|
| COBISS.SI-ID: | 227213059 |
|---|
| DOI: | 10.1177/14604582251318252 |
|---|
| Publication date in DKUM: | 25.02.2025 |
|---|
| Views: | 0 |
|---|
| Downloads: | 8 |
|---|
| Metadata: |    |
|---|
| Categories: | Misc.
|
|---|
|
:
|
Copy citation |
|---|
| | | | Average score: | (0 votes) |
|---|
| Your score: | Voting is allowed only for logged in users. |
|---|
| Share: |  |
|---|
Hover the mouse pointer over a document title to show the abstract or click
on the title to get all document metadata. |
