ESTRO 2023 - Abstract Book

S576

Monday 15 May 2023

ESTRO 2023

to-patient variation in execution times in clinical practice and the lack of robustness against this uncertainty of optimized models. In the setting of a dedicated one-stop shop (OSS) at the outpatient clinic for palliative RT at our institute, pretreatment preparation takes the majority of staff time. While all tasks are predefined and executed by dedicated staff (RO, RTT) or automated, generally, no tasks are scheduled with the exception of patient consult and CT acquisition. With the aim to optimize staff deployment, reduce patients’ waiting time and unnecessary delays at the OSS, a new robust scheduling method was developed which could cope with the stochastic nature of our OSS. This method is based on a non-dominated sorting genetic algorithm and two mixed integer linear programs, that could minimize the expected average patient preparation time ( Fmean ) and balance Fmean with the risk of delay for patients (i.e. overtime for staff) ( RoO ). Our scheduling approach was investigated in (i) different theoretical settings (1/2/3 RO, 2 RTT, 3/4/5 patients) and (ii) clinical practice (1 RO, 1 RTT, 3 patients). The experiments provided insights in the trade-off between expected Fmean , RoO , working shift length, number of patients treated on a single day and staff composition. Therefore, this approach is a valuable tool for tactical and strategic decision making and the results strongly support further exploration of scheduling optimization for RT preparation, also outside an OSS-setting. While “everything is on time” is an utopia, with robust scheduling, delays can be mitigated. 1. European Cancer Information System - ECIS. Estimated incidence by year - summary 2022 [Available from: https://ecis.jrc.ec.europa.eu/explorer.php?$0-4$1-AE28E$4-1,2$3-0$6-0,85$5-All$7-7$21-0$2 All$CLongtermChart3_1$X0_14-$CLongtermChart3_2$X1_14-. 2. World Health O. Global strategy on human resources for health: workforce 2030. 2016. 3. Franco P, Tesio V, Bertholet J, Gasnier A, Del Portillo EG, Spalek M, et al. Professional quality of life and burnout amongst radiation oncologists: the impact of alexithymia and empathy. Radiotherapy and Oncology. 2020;147:162-8. 4. Di Tella M, Tesio V, Bertholet J, Gasnier A, Del Portillo EG, Spalek M, et al. Professional quality of life and burnout among medical physicists working in radiation oncology: The role of alexithymia and empathy. Physics and imaging in radiation oncology. 2020;15:38-43. 5. Franco P, Tesio V, Bertholet J, Gasnier A, Del Portillo EG, Spalek M, et al. The role of alexithymia and empathy on radiation therapists’ professional quality of life. Technical innovations & patient support in radiation oncology. 2020;15:29-36. 6. Lichter KE, Anderson J, Sim AJ, Baniel CC, Thiel CL, Chuter R, et al. Transitioning to Environmentally Sustainable, Climate-Smart Radiation Oncology Care. International Journal of Radiation Oncology, Biology, Physics. 2022;113(5):915-24. 7. Vieira B, Hans EW, van Vliet-Vroegindeweij C, Van De Kamer J, Van Harten W. Operations research for resource planning and-use in radiotherapy: a literature review. BMC medical informatics and decision making. 2016;16(1):1-11. 8. Vieira B, Demirtas D, van de Kamer JB, Hans EW, Jongste W, van Harten W. Radiotherapy treatment scheduling: Implementing operations research into clinical practice. Plos one. 2021;16(2):e0247428. Abstract Text In the last decade, there have been rapid changes and progressive developments in the technology used for the planning and delivery of radiotherapy, especially with the utilization of artificial intelligence (AI) and telemedicine in cancer diagnosis/treatments/outcomes. With the ever-increasing complexity of the radiotherapy patient pathway and limited healthcare resources, we, as healthcare professionals within radiation oncology, are required to respond to these ongoing advances efficiently through various resource optimization initiatives with a patient-centered focus. The radiotherapy workflows and models of care should be continuously evolved with an increased emphasis on high-quality communications/interactions between patients and clinicians/radiation therapists, in order to support the consistent engagement of patients and their families at each stage of their cancer care journey. Against this background, this presentation will include the following: - Complexity of radiation therapy pathways and the importance of patient-centered care - Current challenges on radiation therapy resources and workforce supply - Examples of innovative model of care such as case expert model and radiation therapist advanced practice with the focus of consistency/personal care - A glimpse into the future – how should we move forward as a multi-professional group for patient-centered service optimization? SP-0690 The best resource we can offer our patients is consistency/personal care Y.M. Tsang 1 1 Princess Margaret Cancer Centre, Radiation Medicine Program, Toronto, Canada

SP-0691 How to implement new techniques when resources are limited… M. Topeshashvili 1 1 Todua Clinic, Radiation Oncology, Tbilisi, Georgia

Abstract Text According to the official statistical data of National center for disease control and public health of Georgia incidence rate of malignant neoplasms is more than 10 000 new cancer cases per year (up to 280-300 cancer incidents per 100 000 population). Based on current practice in high income countries (HIC) Radiotherapy utilization rate (RUR) is minimum 45–55% of the new patients, diagnosed with cancer. At the same time due to the ageing of the population and the anticipated increase in