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SafetyNet: streamlining and automating QA in radiotherapy
Proper quality assurance (QA) of the radiotherapy process can be time‐consuming and expensive. Many QA efforts, such as data export and import, are inefficient when done by humans. Additionally, humans can be unreliable, lose attention, and fail to complete critical steps that are required for smoot...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5345488/ https://www.ncbi.nlm.nih.gov/pubmed/26894365 http://dx.doi.org/10.1120/jacmp.v17i1.5920 |
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author | Hadley, Scott W. Kessler, Marc L. Litzenberg, Dale W. Lee, Choonik Irrer, Jim Chen, Xiaoping Acosta, Eduardo Weyburne, Grant Keranen, Wayne Lam, Kwok Covington, Elizabeth Younge, Kelly C. Matuszak, Martha M. Moran, Jean M. |
author_facet | Hadley, Scott W. Kessler, Marc L. Litzenberg, Dale W. Lee, Choonik Irrer, Jim Chen, Xiaoping Acosta, Eduardo Weyburne, Grant Keranen, Wayne Lam, Kwok Covington, Elizabeth Younge, Kelly C. Matuszak, Martha M. Moran, Jean M. |
author_sort | Hadley, Scott W. |
collection | PubMed |
description | Proper quality assurance (QA) of the radiotherapy process can be time‐consuming and expensive. Many QA efforts, such as data export and import, are inefficient when done by humans. Additionally, humans can be unreliable, lose attention, and fail to complete critical steps that are required for smooth operations. In our group we have sought to break down the QA tasks into separate steps and to automate those steps that are better done by software running autonomously or at the instigation of a human. A team of medical physicists and software engineers worked together to identify opportunities to streamline and automate QA. Development efforts follow a formal cycle of writing software requirements, developing software, testing and commissioning. The clinical release process is separated into clinical evaluation testing, training, and finally clinical release. We have improved six processes related to QA and safety. Steps that were previously performed by humans have been automated or streamlined to increase first‐time quality, reduce time spent by humans doing low‐level tasks, and expedite QA tests. Much of the gains were had by automating data transfer, implementing computer‐based checking and automation of systems with an event‐driven framework. These coordinated efforts by software engineers and clinical physicists have resulted in speed improvements in expediting patient‐sensitive QA tests. PACS number(s): 87.55.Ne, 87.55.Qr, 87.55.tg, 87.55.tm |
format | Online Article Text |
id | pubmed-5345488 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-53454882017-03-10 SafetyNet: streamlining and automating QA in radiotherapy Hadley, Scott W. Kessler, Marc L. Litzenberg, Dale W. Lee, Choonik Irrer, Jim Chen, Xiaoping Acosta, Eduardo Weyburne, Grant Keranen, Wayne Lam, Kwok Covington, Elizabeth Younge, Kelly C. Matuszak, Martha M. Moran, Jean M. J Appl Clin Med Phys Management and Profession Proper quality assurance (QA) of the radiotherapy process can be time‐consuming and expensive. Many QA efforts, such as data export and import, are inefficient when done by humans. Additionally, humans can be unreliable, lose attention, and fail to complete critical steps that are required for smooth operations. In our group we have sought to break down the QA tasks into separate steps and to automate those steps that are better done by software running autonomously or at the instigation of a human. A team of medical physicists and software engineers worked together to identify opportunities to streamline and automate QA. Development efforts follow a formal cycle of writing software requirements, developing software, testing and commissioning. The clinical release process is separated into clinical evaluation testing, training, and finally clinical release. We have improved six processes related to QA and safety. Steps that were previously performed by humans have been automated or streamlined to increase first‐time quality, reduce time spent by humans doing low‐level tasks, and expedite QA tests. Much of the gains were had by automating data transfer, implementing computer‐based checking and automation of systems with an event‐driven framework. These coordinated efforts by software engineers and clinical physicists have resulted in speed improvements in expediting patient‐sensitive QA tests. PACS number(s): 87.55.Ne, 87.55.Qr, 87.55.tg, 87.55.tm John Wiley and Sons Inc. 2016-01-08 /pmc/articles/PMC5345488/ /pubmed/26894365 http://dx.doi.org/10.1120/jacmp.v17i1.5920 Text en © 2016 The Authors. This is an open access article under the terms of the Creative Commons Attribution (http://creativecommons.org/licenses/by/3.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Management and Profession Hadley, Scott W. Kessler, Marc L. Litzenberg, Dale W. Lee, Choonik Irrer, Jim Chen, Xiaoping Acosta, Eduardo Weyburne, Grant Keranen, Wayne Lam, Kwok Covington, Elizabeth Younge, Kelly C. Matuszak, Martha M. Moran, Jean M. SafetyNet: streamlining and automating QA in radiotherapy |
title | SafetyNet: streamlining and automating QA in radiotherapy |
title_full | SafetyNet: streamlining and automating QA in radiotherapy |
title_fullStr | SafetyNet: streamlining and automating QA in radiotherapy |
title_full_unstemmed | SafetyNet: streamlining and automating QA in radiotherapy |
title_short | SafetyNet: streamlining and automating QA in radiotherapy |
title_sort | safetynet: streamlining and automating qa in radiotherapy |
topic | Management and Profession |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5345488/ https://www.ncbi.nlm.nih.gov/pubmed/26894365 http://dx.doi.org/10.1120/jacmp.v17i1.5920 |
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