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Medical physics staffing for radiation oncology: a decade of experience in Ontario, Canada
The January 2010 articles in The New York Times generated intense focus on patient safety in radiation treatment, with physics staffing identified frequently as a critical factor for consistent quality assurance. The purpose of this work is to review our experience with medical physics staffing, and...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5716143/ https://www.ncbi.nlm.nih.gov/pubmed/22231223 http://dx.doi.org/10.1120/jacmp.v13i1.3704 |
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author | Battista, Jerry J. Clark, Brenda G. Patterson, Michael S. Beaulieu, Luc Sharpe, Michael B. Schreiner, L. John MacPherson, Miller S. Van Dyk, Jacob |
author_facet | Battista, Jerry J. Clark, Brenda G. Patterson, Michael S. Beaulieu, Luc Sharpe, Michael B. Schreiner, L. John MacPherson, Miller S. Van Dyk, Jacob |
author_sort | Battista, Jerry J. |
collection | PubMed |
description | The January 2010 articles in The New York Times generated intense focus on patient safety in radiation treatment, with physics staffing identified frequently as a critical factor for consistent quality assurance. The purpose of this work is to review our experience with medical physics staffing, and to propose a transparent and flexible staffing algorithm for general use. Guided by documented times required per routine procedure, we have developed a robust algorithm to estimate physics staffing needs according to center‐specific workload for medical physicists and associated support staff, in a manner we believe is adaptable to an evolving radiotherapy practice. We calculate requirements for each staffing type based on caseload, equipment inventory, quality assurance, educational programs, and administration. Average per‐case staffing ratios were also determined for larger‐scale human resource planning and used to model staffing needs for Ontario, Canada over the next 10 years. The workload specific algorithm was tested through a survey of Canadian cancer centers. For center‐specific human resource planning, we propose a grid of coefficients addressing specific workload factors for each staff group. For larger scale forecasting of human resource requirements, values of 260, 700, 300, 600, 1200, and 2000 treated cases per full‐time equivalent (FTE) were determined for medical physicists, physics assistants, dosimetrists, electronics technologists, mechanical technologists, and information technology specialists, respectively. PACS numbers: 87.55.N‐, 87.55.Qr |
format | Online Article Text |
id | pubmed-5716143 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-57161432018-04-02 Medical physics staffing for radiation oncology: a decade of experience in Ontario, Canada Battista, Jerry J. Clark, Brenda G. Patterson, Michael S. Beaulieu, Luc Sharpe, Michael B. Schreiner, L. John MacPherson, Miller S. Van Dyk, Jacob J Appl Clin Med Phys Radiation Oncology Physics The January 2010 articles in The New York Times generated intense focus on patient safety in radiation treatment, with physics staffing identified frequently as a critical factor for consistent quality assurance. The purpose of this work is to review our experience with medical physics staffing, and to propose a transparent and flexible staffing algorithm for general use. Guided by documented times required per routine procedure, we have developed a robust algorithm to estimate physics staffing needs according to center‐specific workload for medical physicists and associated support staff, in a manner we believe is adaptable to an evolving radiotherapy practice. We calculate requirements for each staffing type based on caseload, equipment inventory, quality assurance, educational programs, and administration. Average per‐case staffing ratios were also determined for larger‐scale human resource planning and used to model staffing needs for Ontario, Canada over the next 10 years. The workload specific algorithm was tested through a survey of Canadian cancer centers. For center‐specific human resource planning, we propose a grid of coefficients addressing specific workload factors for each staff group. For larger scale forecasting of human resource requirements, values of 260, 700, 300, 600, 1200, and 2000 treated cases per full‐time equivalent (FTE) were determined for medical physicists, physics assistants, dosimetrists, electronics technologists, mechanical technologists, and information technology specialists, respectively. PACS numbers: 87.55.N‐, 87.55.Qr John Wiley and Sons Inc. 2012-01-05 /pmc/articles/PMC5716143/ /pubmed/22231223 http://dx.doi.org/10.1120/jacmp.v13i1.3704 Text en © 2012 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 | Radiation Oncology Physics Battista, Jerry J. Clark, Brenda G. Patterson, Michael S. Beaulieu, Luc Sharpe, Michael B. Schreiner, L. John MacPherson, Miller S. Van Dyk, Jacob Medical physics staffing for radiation oncology: a decade of experience in Ontario, Canada |
title | Medical physics staffing for radiation oncology: a decade of experience in Ontario, Canada |
title_full | Medical physics staffing for radiation oncology: a decade of experience in Ontario, Canada |
title_fullStr | Medical physics staffing for radiation oncology: a decade of experience in Ontario, Canada |
title_full_unstemmed | Medical physics staffing for radiation oncology: a decade of experience in Ontario, Canada |
title_short | Medical physics staffing for radiation oncology: a decade of experience in Ontario, Canada |
title_sort | medical physics staffing for radiation oncology: a decade of experience in ontario, canada |
topic | Radiation Oncology Physics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5716143/ https://www.ncbi.nlm.nih.gov/pubmed/22231223 http://dx.doi.org/10.1120/jacmp.v13i1.3704 |
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