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 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.
Medical Physics, London Regional Cancer Program, London, ON, Canada.
Jerry J
JJ
Battista
Brenda G
BG
Clark
Michael S
MS
Patterson
Luc
L
Beaulieu
Michael B
MB
Sharpe
L John
LJ
Schreiner
Miller S
MS
MacPherson
Jacob
J
Van Dyk
D000465:Algorithms; D006283:Health Physics / Q000706:statistics & numerical data*; D009864:Ontario; D010560:Personnel Selection / Q000706:statistics & numerical data* / Q000639:trends; D010561:Personnel Staffing and Scheduling / Q000706:statistics & numerical data* / Q000639:trends; D018787:Radiation Oncology / Q000706:statistics & numerical data* / Q000639:trends; D000078329:Workforce