Using a Retrospective Analysis to Conduct Prospective Dose Evaluations for Medical Health Physics Programs

In radiation safety programs, particularly in large healthcare systems, personal dosimetry is often issued conservatively, leading to unnecessary monitoring of individuals with minimal exposure risk. This study describes a structured approach implemented at Mayo Clinic to evaluate the necessity and exchange frequency of dosimeters using two years of retrospective radiation dose data. Personnel were grouped based on job type and workplace conditions, then dosimetry data was analyzed at the 50th percentile, 95th percentile, and maximum levels against conservative thresholds. Regulatory requirements and managerial input were incorporated throughout the decision-making process. From 2020 to 2024, this method resulted in the reduction of dosimeter frequency for 82 individuals and complete removal for 1,067: reducing dosimeter issuance by 4,912 each year. The approach enabled a more efficient use of resources, allowing radiation safety efforts to be directed toward higher-risk groups and activities without compromising compliance or worker protection. This model provides a conservative, scalable framework for optimizing dosimetry programs in healthcare and potentially other radiation-using industries.