ESTRO 2025 - Abstract Book

S2303

Interdisciplinary – Health economics & health services research

ESTRO 2025

2443

Digital Poster Management of processes in the division of Radiotherapy at ASST Papa Giovanni XXIII: application of the failure mode, effects and criticality analysis Michele Sala 1 , Angelo Di Naro 2 , Roberta Muni 2 , Sara Molli 2 , Francesco Romeo Filippone 2 , Suela Vukcaj 2 , Fabio Piccoli 2 , Micaela Motta 2 , Giulia Rinaldi 2 , Laura Maffioletti 2 , Elisabetta Vitali 2 , Laura Colombo 2 , Carmen Orlandi 2 , Stefano Andreoli 3 , Claudia Bianchi 3 , Sara Parabicoli 3 , Fabiola Cretti 3 , Luigi Daleffe 4 , Ave Vezzoli 4 , Gian Luca Poli 3 , Cristina Caldara 4 , Gabriele Pagani 5 , Maurizio Portaluri 2 1 Division of Radiology, ASST Papa Giovanni XXIII, Bergamo, Italy. 2 Division of Radiotherapy, ASST Papa Giovanni XXIII, Bergamo, Italy. 3 Division of Medical Physics, ASST Papa Giovanni XXIII, Bergamo, Italy. 4 Division of Health and Social Care Professions, ASST Papa Giovanni XXIII, Bergamo, Italy. 5 Division of Risk Management, ASST Papa Giovanni XXIII, Bergamo, Italy Purpose/Objective: The aim of this study is to apply the Failure Mode, Effects and Criticality Analysis (FMECA) approach to the macro processes of the division of Radiotherapy at ASST Papa Giovanni XXIII in Bergamo. The analysis spans from scheduling the initial consultation to the final post-treatment visit, with the goal of identifying critical errors and developing innovative risk mitigation and process optimization strategies. Material/Methods: A multidisciplinary team, consisting of medical personnel, physicists, radiation therapists and nurses, evaluated potential errors by considering three fundamental parameters: severity, occurrence, and detectability, following the recommendations of the Task Group 100 of the American Association of Physicists in Medicine. Each parameter was assessed using a 5-point Likert scale and the obtained scores were utilized to calculate the risk priority number (RPN), allowing for the identification of specific risk profiles associated with the various processes analyzed.