A practical implementation of risk management for the clinical introduction of online adaptive Magnetic Resonance-guided radiotherapy

Background and Purpose: The clinical introduction of on-table adaptive radiotherapy with Magnetic Resonance (MR)-guided linear accelerators (Linacs) yields new challenges and potential risks. Since the adapted plan is created within a highly interdisciplinary workflow with the patient in treatment p...

Full description

Bibliographic Details
Main Authors: Sebastian Klüter, Oliver Schrenk, Claudia Katharina Renkamp, Stefan Gliessmann, Melanie Kress, Jürgen Debus, Juliane Hörner-Rieber
Format: Article
Language:English
Published: Elsevier 2021-01-01
Series:Physics and Imaging in Radiation Oncology
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2405631620300804
id doaj-cbe2d7f79fb54a22b6a04d42ef05e393
record_format Article
collection DOAJ
language English
format Article
sources DOAJ
author Sebastian Klüter
Oliver Schrenk
Claudia Katharina Renkamp
Stefan Gliessmann
Melanie Kress
Jürgen Debus
Juliane Hörner-Rieber
spellingShingle Sebastian Klüter
Oliver Schrenk
Claudia Katharina Renkamp
Stefan Gliessmann
Melanie Kress
Jürgen Debus
Juliane Hörner-Rieber
A practical implementation of risk management for the clinical introduction of online adaptive Magnetic Resonance-guided radiotherapy
Physics and Imaging in Radiation Oncology
FMEA
Risk management
MR-guided radiation therapy
Online adaptive
On-table adaptive
author_facet Sebastian Klüter
Oliver Schrenk
Claudia Katharina Renkamp
Stefan Gliessmann
Melanie Kress
Jürgen Debus
Juliane Hörner-Rieber
author_sort Sebastian Klüter
title A practical implementation of risk management for the clinical introduction of online adaptive Magnetic Resonance-guided radiotherapy
title_short A practical implementation of risk management for the clinical introduction of online adaptive Magnetic Resonance-guided radiotherapy
title_full A practical implementation of risk management for the clinical introduction of online adaptive Magnetic Resonance-guided radiotherapy
title_fullStr A practical implementation of risk management for the clinical introduction of online adaptive Magnetic Resonance-guided radiotherapy
title_full_unstemmed A practical implementation of risk management for the clinical introduction of online adaptive Magnetic Resonance-guided radiotherapy
title_sort practical implementation of risk management for the clinical introduction of online adaptive magnetic resonance-guided radiotherapy
publisher Elsevier
series Physics and Imaging in Radiation Oncology
issn 2405-6316
publishDate 2021-01-01
description Background and Purpose: The clinical introduction of on-table adaptive radiotherapy with Magnetic Resonance (MR)-guided linear accelerators (Linacs) yields new challenges and potential risks. Since the adapted plan is created within a highly interdisciplinary workflow with the patient in treatment position, time pressure or erroneous communication may lead to various possibly hazardous situations. To identify risks and implement a safe workflow, a proactive risk analysis has been conducted. Materials and Methods: A process failure mode, effects and criticality analysis (P-FMECA) was performed within a group of radiation therapy technologists, physicians and physicists together with an external moderator. The workflow for on-table adaptive MR-guided treatments was defined and for each step potentially hazardous situations were identified. The risks were evaluated within the team in order to homogenize risk assessment. The team elaborated and discussed possible mitigation strategies and carried out their implementation. Results: In total, 89 risks were identified for the entire MR-guided online adaptive workflow. After mitigation, all risks could be minimized to an acceptable level. Overall, the need for a standardized workflow, clear-defined protocols together with the need for checklists to ensure protocol adherence were identified among the most important mitigation measures. Moreover, additional quality assurance processes and automated plan checks were developed. Conclusions: Despite additional workload and beyond the fulfilment of legal requirements, execution of the P-FMECA within an interdisciplinary team helped all involved occupational groups to develop and foster an open culture of safety and to ensure a consensus for an efficient and safe online adaptive radiotherapy workflow.
topic FMEA
Risk management
MR-guided radiation therapy
Online adaptive
On-table adaptive
url http://www.sciencedirect.com/science/article/pii/S2405631620300804
work_keys_str_mv AT sebastiankluter apracticalimplementationofriskmanagementfortheclinicalintroductionofonlineadaptivemagneticresonanceguidedradiotherapy
AT oliverschrenk apracticalimplementationofriskmanagementfortheclinicalintroductionofonlineadaptivemagneticresonanceguidedradiotherapy
AT claudiakatharinarenkamp apracticalimplementationofriskmanagementfortheclinicalintroductionofonlineadaptivemagneticresonanceguidedradiotherapy
AT stefangliessmann apracticalimplementationofriskmanagementfortheclinicalintroductionofonlineadaptivemagneticresonanceguidedradiotherapy
AT melaniekress apracticalimplementationofriskmanagementfortheclinicalintroductionofonlineadaptivemagneticresonanceguidedradiotherapy
AT jurgendebus apracticalimplementationofriskmanagementfortheclinicalintroductionofonlineadaptivemagneticresonanceguidedradiotherapy
AT julianehornerrieber apracticalimplementationofriskmanagementfortheclinicalintroductionofonlineadaptivemagneticresonanceguidedradiotherapy
AT sebastiankluter practicalimplementationofriskmanagementfortheclinicalintroductionofonlineadaptivemagneticresonanceguidedradiotherapy
AT oliverschrenk practicalimplementationofriskmanagementfortheclinicalintroductionofonlineadaptivemagneticresonanceguidedradiotherapy
AT claudiakatharinarenkamp practicalimplementationofriskmanagementfortheclinicalintroductionofonlineadaptivemagneticresonanceguidedradiotherapy
AT stefangliessmann practicalimplementationofriskmanagementfortheclinicalintroductionofonlineadaptivemagneticresonanceguidedradiotherapy
AT melaniekress practicalimplementationofriskmanagementfortheclinicalintroductionofonlineadaptivemagneticresonanceguidedradiotherapy
AT jurgendebus practicalimplementationofriskmanagementfortheclinicalintroductionofonlineadaptivemagneticresonanceguidedradiotherapy
AT julianehornerrieber practicalimplementationofriskmanagementfortheclinicalintroductionofonlineadaptivemagneticresonanceguidedradiotherapy
_version_ 1724213356861063168
spelling doaj-cbe2d7f79fb54a22b6a04d42ef05e3932021-03-19T07:27:11ZengElsevierPhysics and Imaging in Radiation Oncology2405-63162021-01-01175357A practical implementation of risk management for the clinical introduction of online adaptive Magnetic Resonance-guided radiotherapySebastian Klüter0Oliver Schrenk1Claudia Katharina Renkamp2Stefan Gliessmann3Melanie Kress4Jürgen Debus5Juliane Hörner-Rieber6Department of Radiation Oncology, Heidelberg University Hospital, Heidelberg, Germany; Heidelberg Institute of Radiation Oncology (HIRO), National Center for Radiation Oncology (NCRO), Heidelberg, Germany; Corresponding author at: Department of Radiation Oncology, Heidelberg University Hospital, Im Neuenheimer Feld 400, 69120 Heidelberg, Germany.Department of Radiation Oncology, Heidelberg University Hospital, Heidelberg, Germany; Heidelberg Institute of Radiation Oncology (HIRO), National Center for Radiation Oncology (NCRO), Heidelberg, GermanyDepartment of Radiation Oncology, Heidelberg University Hospital, Heidelberg, Germany; Heidelberg Institute of Radiation Oncology (HIRO), National Center for Radiation Oncology (NCRO), Heidelberg, GermanyStefan Gliessmann Risk Management & Consulting, Hildesheim, GermanyDepartment of Radiation Oncology, Heidelberg University Hospital, Heidelberg, Germany; Heidelberg Institute of Radiation Oncology (HIRO), National Center for Radiation Oncology (NCRO), Heidelberg, GermanyDepartment of Radiation Oncology, Heidelberg University Hospital, Heidelberg, Germany; Heidelberg Institute of Radiation Oncology (HIRO), National Center for Radiation Oncology (NCRO), Heidelberg, Germany; National Center for Tumor Diseases (NCT), Heidelberg, Germany; Heidelberg Ion-Beam Therapy Center (HIT), Department of Radiation Oncology, Heidelberg University Hospital, Heidelberg, Germany; German Cancer Consortium (DKTK), Core-center Heidelberg, Heidelberg, Germany; Clinical Cooperation Unit Radiation Oncology, German Cancer Research Center (DKFZ), Heidelberg, GermanyDepartment of Radiation Oncology, Heidelberg University Hospital, Heidelberg, Germany; Heidelberg Institute of Radiation Oncology (HIRO), National Center for Radiation Oncology (NCRO), Heidelberg, Germany; Clinical Cooperation Unit Radiation Oncology, German Cancer Research Center (DKFZ), Heidelberg, GermanyBackground and Purpose: The clinical introduction of on-table adaptive radiotherapy with Magnetic Resonance (MR)-guided linear accelerators (Linacs) yields new challenges and potential risks. Since the adapted plan is created within a highly interdisciplinary workflow with the patient in treatment position, time pressure or erroneous communication may lead to various possibly hazardous situations. To identify risks and implement a safe workflow, a proactive risk analysis has been conducted. Materials and Methods: A process failure mode, effects and criticality analysis (P-FMECA) was performed within a group of radiation therapy technologists, physicians and physicists together with an external moderator. The workflow for on-table adaptive MR-guided treatments was defined and for each step potentially hazardous situations were identified. The risks were evaluated within the team in order to homogenize risk assessment. The team elaborated and discussed possible mitigation strategies and carried out their implementation. Results: In total, 89 risks were identified for the entire MR-guided online adaptive workflow. After mitigation, all risks could be minimized to an acceptable level. Overall, the need for a standardized workflow, clear-defined protocols together with the need for checklists to ensure protocol adherence were identified among the most important mitigation measures. Moreover, additional quality assurance processes and automated plan checks were developed. Conclusions: Despite additional workload and beyond the fulfilment of legal requirements, execution of the P-FMECA within an interdisciplinary team helped all involved occupational groups to develop and foster an open culture of safety and to ensure a consensus for an efficient and safe online adaptive radiotherapy workflow.http://www.sciencedirect.com/science/article/pii/S2405631620300804FMEARisk managementMR-guided radiation therapyOnline adaptiveOn-table adaptive