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Related Experiment Video

Updated: Aug 3, 2025

Radiation Planning Assistant - A Streamlined, Fully Automated Radiotherapy Treatment Planning System
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Resource Allocations for Common Radiation Oncology Procedures.

Per H Halvorsen1, Jay Burmeister2, Navneeth Hariharan1

  • 1Radiation Oncology, Beth Israel Lahey Health, Lahey Division, Burlington, Massachusetts.

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Summary

This study quantifies time spent on radiation oncology treatments, revealing significant variability in resource use and workload distribution across institutions. Findings aid in optimizing staffing models for radiation therapy services.

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Area of Science:

  • Radiation Oncology
  • Medical Physics
  • Healthcare Management

Background:

  • Radiation Oncology is increasingly complex due to advanced technologies and multidisciplinary care.
  • Accurate resource allocation and staffing are critical for efficient patient care.

Purpose of the Study:

  • To estimate average times per functional unit for modern radiation oncology treatment regimens.
  • To identify sources of variability in treatment times and resource utilization.

Main Methods:

  • Multi-institutional study using structured process mapping for 24 treatment categories.
  • Collected average time estimates from clinical teams across six institutions.
  • Aggregated and analyzed data with careful clarification of assumptions.

Main Results:

  • Significant variability observed in resources expended and workload distribution for various treatment categories.
  • Hypofractionation, automation, and image-based brachytherapy planning contribute to variability.
  • Differences in technology adoption and standardization impact resource utilization.

Conclusions:

  • Study data can inform the design of institution-specific staffing models.
  • Understanding time and resource variability is key for efficient radiation therapy service provision.
  • Results support evidence-based resource management in radiation oncology departments.