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Author Spotlight: Improving Radiation Therapy Access with Radiation Planning Assistant
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An Innovative Learning Tool for Radiation Therapy Treatment Plan Evaluation: Implementation and Evaluation.

Jeff D Winter1, Jenna Adleman2, Thomas G Purdie2

  • 1Radiation Medicine Program, Princess Margaret Cancer Centre, Toronto, Ontario, Canada.

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|April 8, 2020
PubMed
Summary

Radiation oncology and medical physics residents benefit from a new interactive simulation tool for treatment plan evaluation. This digital learning platform enhances resident competency and learning outcomes.

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Area of Science:

  • Medical Physics
  • Radiation Oncology
  • Medical Education

Background:

  • Gaps exist in current learning methods for radiation oncology and medical physics residents regarding treatment plan evaluation.
  • Traditional learning approaches may not adequately prepare residents for complex clinical scenarios in radiation therapy.

Purpose of the Study:

  • To design, develop, and evaluate an interactive simulation-based learning tool.
  • The tool aims to address identified learning gaps in treatment plan evaluation for radiation oncology and medical physics residents.

Main Methods:

  • A needs assessment guided the design and case selection for the learning tool.
  • A curated database of 70 cases with clinically unacceptable treatment plans was created using a web-based DICOM-RT viewer.
  • An interactive module with immediate feedback was developed and pilot-tested with residents.

Main Results:

  • The case bank includes diverse clinical sites, difficulty levels, and classified errors.
  • Residents positively evaluated the tool's design, content, and perceived educational impact.
  • The interactive nature of the tool was found to provide greater educational value than existing methods.

Conclusions:

  • A high-fidelity simulation platform for treatment plan evaluation was successfully created.
  • Pilot testing indicated the tool benefits resident learning and competency attainment.
  • Future work will focus on external validation and expanding the learning tool's reach.