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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...
Autores principales: | , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2023
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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. |
format | Online Article Text |
id | pubmed-10208743 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
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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