Determination of radiology staffing needs by regression analysis

Area of Science:

• Radiology Department Management
• Healthcare Administration
• Operations Research

Background:

• Historically, determining radiology department staffing needs has created conflict between departments and hospital administration.
• This conflict arises from differing methodologies and data interpretation for resource allocation.

Purpose of the Study:

• To develop an objective, data-driven method for analyzing radiology department staffing needs.
• To reduce friction between radiology departments and hospital administration by establishing a common analytical framework.

Main Methods:

• A regression-based analysis was developed and implemented by the University of New Mexico's radiology department.
• Key hospital statistics, including patient days and number of facility outpatient visits, were utilized as predictor variables.

Main Results:

• The analysis successfully correlates hospital statistics with projected radiology procedure volumes.
• Staffing needs are directly projected from these procedure statistics, providing a quantifiable basis for resource allocation.

Conclusions:

• The developed regression analysis offers a reliable method for aligning radiology staffing with institutional demands.
• This approach facilitates more efficient resource management and improved collaboration between radiology departments and hospital administration.