ESTRO 2024 - Abstract Book

S2822

Interdisciplinary - Health economics & health services research

ESTRO 2024

Conclusion:

The study demonstrates the potential of PM as a valuable tool for data-driven analysis and workflow optimization in RT settings. Further studies will be held to stratify the population by developing predictive models to improve patients’ journey in radiotherapy.

Keywords: Process mining, Covid

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Facing the climate change: is radiotherapy as green as we would? A preliminary analysis

Federico Mastroleo 1,2 , Stefania Volpe 1,3 , Giulia Corrao 1 , Mattia Zaffaroni 1 , Maria Giulia Vincini 1 , Giulia Marvaso 1,3 , Barbara Alicja Jereczek-Fossa 1,3 1 IEO European Institute of Oncology IRCCS, Division of Radiation Oncology, Milan, Italy. 2 University of Piemonte Orientale, Department of Translational Medicine, Novara, Italy. 3 University of Milan, Department of Oncology and Hemato-Oncology, Milan, Italy

Purpose/Objective:

This study aims to develop a conceptual "score" using data from a historical patient cohort to estimate the treatment footprint in radiation oncology.