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A real-time system to report abnormal events involving staff in a nuclear medicine therapy unit

A system for internal and voluntary reporting of abnormal events in a Nuclear Medicine Therapy Unit is described. This system is based on the Internet of Things and is composed of an application for mobile devices and a wireless network of detectors. The application is addressed to healthcare profes...

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Autores principales: Stendardo, Giorgia, Nuccetelli, Cristina, Grande, Sveva, Palma, Alessandra, Venoso, Gennaro, Zicari, Carmine, Andenna, Claudio, Frau, Giuseppe, Bonanno, Ilaria, Landoni, Valeria, Sciuto, Rosa, Bruzzaniti, Vicente, Cassano, Bartolomeo, Iaccarino, Giuseppe, Murtas, Federica, Canzi, Cristina, Zito, Felicia, Fattibene, Paola
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10208743/
https://www.ncbi.nlm.nih.gov/pubmed/37225203
http://dx.doi.org/10.1093/rpd/ncad098
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author Stendardo, Giorgia
Nuccetelli, Cristina
Grande, Sveva
Palma, Alessandra
Venoso, Gennaro
Zicari, Carmine
Andenna, Claudio
Frau, Giuseppe
Bonanno, Ilaria
Landoni, Valeria
Sciuto, Rosa
Bruzzaniti, Vicente
Cassano, Bartolomeo
Iaccarino, Giuseppe
Murtas, Federica
Canzi, Cristina
Zito, Felicia
Fattibene, Paola
author_facet Stendardo, Giorgia
Nuccetelli, Cristina
Grande, Sveva
Palma, Alessandra
Venoso, Gennaro
Zicari, Carmine
Andenna, Claudio
Frau, Giuseppe
Bonanno, Ilaria
Landoni, Valeria
Sciuto, Rosa
Bruzzaniti, Vicente
Cassano, Bartolomeo
Iaccarino, Giuseppe
Murtas, Federica
Canzi, Cristina
Zito, Felicia
Fattibene, Paola
author_sort Stendardo, Giorgia
collection PubMed
description A system for internal and voluntary reporting of abnormal events in a Nuclear Medicine Therapy Unit is described. This system is based on the Internet of Things and is composed of an application for mobile devices and a wireless network of detectors. The application is addressed to healthcare professionals and is intended to be a user-friendly tool to make the reporting procedure little laborious. The network of detectors allows for a real-time measurement of the dose distribution in the patient’s room. The staff was involved in all stages, from the design of the dosimetry system and mobile application up to their final testing. Face-to-face interviews were carried out with 24 operators in different roles in the Unit (radiation protection experts, physicians, physicists, nuclear medicine technicians and nurses). The preliminary results of the interviews and the current state of development of the application and the detection network will be described.
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spelling pubmed-102087432023-05-25 A real-time system to report abnormal events involving staff in a nuclear medicine therapy unit Stendardo, Giorgia Nuccetelli, Cristina Grande, Sveva Palma, Alessandra Venoso, Gennaro Zicari, Carmine Andenna, Claudio Frau, Giuseppe Bonanno, Ilaria Landoni, Valeria Sciuto, Rosa Bruzzaniti, Vicente Cassano, Bartolomeo Iaccarino, Giuseppe Murtas, Federica Canzi, Cristina Zito, Felicia Fattibene, Paola Radiat Prot Dosimetry Paper A system for internal and voluntary reporting of abnormal events in a Nuclear Medicine Therapy Unit is described. This system is based on the Internet of Things and is composed of an application for mobile devices and a wireless network of detectors. The application is addressed to healthcare professionals and is intended to be a user-friendly tool to make the reporting procedure little laborious. The network of detectors allows for a real-time measurement of the dose distribution in the patient’s room. The staff was involved in all stages, from the design of the dosimetry system and mobile application up to their final testing. Face-to-face interviews were carried out with 24 operators in different roles in the Unit (radiation protection experts, physicians, physicists, nuclear medicine technicians and nurses). The preliminary results of the interviews and the current state of development of the application and the detection network will be described. Oxford University Press 2023-05-24 /pmc/articles/PMC10208743/ /pubmed/37225203 http://dx.doi.org/10.1093/rpd/ncad098 Text en © The Author(s) 2023. Published by Oxford University Press. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Paper
Stendardo, Giorgia
Nuccetelli, Cristina
Grande, Sveva
Palma, Alessandra
Venoso, Gennaro
Zicari, Carmine
Andenna, Claudio
Frau, Giuseppe
Bonanno, Ilaria
Landoni, Valeria
Sciuto, Rosa
Bruzzaniti, Vicente
Cassano, Bartolomeo
Iaccarino, Giuseppe
Murtas, Federica
Canzi, Cristina
Zito, Felicia
Fattibene, Paola
A real-time system to report abnormal events involving staff in a nuclear medicine therapy unit
title A real-time system to report abnormal events involving staff in a nuclear medicine therapy unit
title_full A real-time system to report abnormal events involving staff in a nuclear medicine therapy unit
title_fullStr A real-time system to report abnormal events involving staff in a nuclear medicine therapy unit
title_full_unstemmed A real-time system to report abnormal events involving staff in a nuclear medicine therapy unit
title_short A real-time system to report abnormal events involving staff in a nuclear medicine therapy unit
title_sort real-time system to report abnormal events involving staff in a nuclear medicine therapy unit
topic Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10208743/
https://www.ncbi.nlm.nih.gov/pubmed/37225203
http://dx.doi.org/10.1093/rpd/ncad098
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