ESTRO 2025 - Abstract Book

S4241

RTT - Education, training, advanced practice and role developments

ESTRO 2025

Conclusion: The findings of the present study highlight that the current performance of the RTT is not affected by the number of digital tools used. Most likely as RTTs are used to working with digital tools [5]. Furthermore, the RTTs show no indications of technostress. After the predicted digital transformation the RTT’s key job performance indicators declined, but remained ‘positive’ as the RTTs were still satisfied and engaged with their job and did not intend to leave their job. Other factors like age and working location play a greater role in predicting whether the RTT would leave their job. Therefore, instead of focusing on the number of digital tools or technostress, it is crucial to make sure that a RTT feels that they have the appropriate skills to perform and fulfill the tasks assigned to them (i.e. perceives high levels of job autonomy). This should be considered before the implementation of a new digital tool. References: [1] Jasperse et al. 2014. Evaluating stress, burnout and job satisfaction in New Zealand radiation oncology departments. European Journal of Cancer Care, 23(1), 82-88. [2] Janssen 2000. Job demands, perceptions of effort ‐ reward fairness and innovative work behaviour. Journal of Occupational and organizational psychology, 73(3), 287-302. [3] Mitchell et al. 2001. Why people stay: Using job embeddedness to predict voluntary turnover. Academy of management journal, 44(6), 1102-1121. [4] Gorgievski et al. 2016. Betrouwbaarheid en Validiteit van de Nederlandse vertaling van de Work Design Questionnaire. Gedrag & Organisatie, 29(3). [5] Aznar et al. 2021. Radiation oncology in the new virtual and digital era. Radiotherapy and Oncology, 154, A1-4. Keywords: RTT, Digital transformation, AI