A grid to facilitate physics staffing justification.
Justification of clinical physics staffing levels is difficult due to the lack of direction as how to equate clinical needs with the staffing levels and competency required. When a physicist negotiates staffing requests to administration, she/he often refers to American College of Radiology staffing level suggestions, and resources such as the Abt studies. This approach is often met with questions as to how to fairly derive the time it takes to perform tasks. The result is often insufficient and/or inexperienced staff handling complex and cumbersome tasks. We undertook development of a staffing justification grid to equate the clinical needs to the quantity and quality of staffing required. The first step is using the Abt study, customized to the clinical setting, to derive time per task multiplied by the anticipated number of such tasks. Inclusion of vacation, meeting, and developmental time may be incorporated along with allocated time for education and administration. This is followed by mapping the tasks to the level of competency/experience needed. For example, in an academic setting the faculty appointment levels correlate with experience. Non-staff personnel, such as IMRT QA technicians or clerical staff, should also be part of the equation. By using the staffing justification grid, we derived strong documentation to justify a substantial budget increase. The grid also proved useful when our clinical demands changed. Justification for physics staffing can be significantly strengthened with a properly developed data-based time and work analysis. A staffing grid is presented, along with a development methodology that facilitated our justification. Though our grid is for a large academic facility, the methodology can be extended to a non-academic setting, and to a smaller scale. This grid method not only equates the clinical needs with the quantity of staffing, but can also help generate the personnel budget, based on the type of staff and personnel required. The grid is easily adaptable when changes to the clinical environment change, such as an increase in IMRT or IGRT applications.
Klein
Eric E
EE
Department of Radiation Oncology, Washington University, St. Louis, MO, USA. eklein@radonc.wustl.edu
D000046:Academic Medical Centers; D001918:Brachytherapy / Q000706:statistics & numerical data; D017598:Efficiency, Organizational; D006283:Health Physics / Q000191:economics / Q000458:organization & administration* / Q000592:standards; D006801:Humans; D007324:Institutional Management Teams; D010561:Personnel Staffing and Scheduling; D011361:Professional Competence; D011785:Quality Assurance, Health Care; D011872:Radiology Department, Hospital; D000078329:Workforce