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Navigating the 2021 ACPSEM ROMP workforce model: insights from a single institution
Broderick Ivan McCallum-Hee1,2, Godfrey Mukwada3,4
1Department of Radiation Oncology, Sir Charles Gairdner Hospital, 6009, Nedlands, WA, Australia. Broderick.hee@outlook.com.
Workforce modelling for Radiation Oncology Medical Physicists (ROMPs) is complex. This study evaluated the Australasian College of Physical Scientists and Engineers in Medicine (ACPSEM) ROMP Workforce (ARW) Model, revealing insights into ROMP activities and the evolving role of medical physicists.
Area of Science:
- Medical Physics
- Health Workforce Planning
- Radiation Oncology
Background:
- Workforce modelling for Radiation Oncology Medical Physicists (ROMPs) is increasingly complex.
- The Australasian College of Physical Scientists and Engineers in Medicine (ACPSEM) developed the ROMP Workforce (ARW) Model in 2021 to address these challenges.
Purpose of the Study:
- To evaluate the ARW Model's calculations through a detailed productivity exercise at Sir Charles Gairdner Hospital.
- To gain granular insights into Radiation Oncology Medical Physicist (ROMP) time allocation and activities.
- To assess the model's applicability and identify areas for refinement.
Main Methods:
- Conducted a comprehensive productivity exercise to break down ROMP time at a granular level.
- Collected and analyzed data on ROMP activities within a specific hospital setting.
- Evaluated the collected data against the ARW Model's parameters and calculations.
Main Results:
- The study provided valuable insights into ROMP activities and enabled an evaluation of ARW Model calculations.
- Findings indicated an increasing ROMP involvement in consultation and advisory tasks, reflecting a changing professional role.
- The data suggested potential revisions needed for CyberKnife Quality Assurance (QA) time requirements within the model.
Conclusions:
- The study highlights key features of the ARW Model that require understanding for correct application.
- Accurate workforce modelling necessitates a granular understanding of ROMP activities and the evolving nature of their roles.
- Refinements to the model, particularly regarding specific QA time requirements, may be necessary for improved accuracy.
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