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Related Experiment Video

Updated: Sep 1, 2025

A Pipeline for 3D Multimodality Image Integration and Computer-assisted Planning in Epilepsy Surgery
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Automated planning stage tracking and analysis through an integrated whiteboard system.

Alan M Kalet1, Minsun Kim2, Kristi R G Hendrickson2

  • 1Department of Radiation Oncology, University of Washington, Seattle, WA, United States of America; Department of Radiation Oncology, Seattle Cancer Care Alliance, Seattle, WA, United States of America.

Physica Medica : PM : an International Journal Devoted to the Applications of Physics to Medicine and Biology : Official Journal of the Italian Association of Biomedical Physics (AIFB)
|August 14, 2022
PubMed
Summary
This summary is machine-generated.

Implementing an electronic whiteboard in radiation oncology planning significantly reduced treatment completion times by 33%. This tool improves workflow by tracking tasks and providing data for practice changes.

Keywords:
Analysis and optimizationAutomationInformaticsWorkflow

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Area of Science:

  • Medical Informatics
  • Radiation Oncology Workflow Optimization
  • Healthcare Process Improvement

Background:

  • Radiation oncology treatment planning involves complex information sharing challenges.
  • Current Oncology Information Systems (OIS) lack adequate tools for task timing and workflow management.
  • Delays in radiation oncology can significantly impact patient care and treatment outcomes.

Purpose of the Study:

  • To develop and evaluate an electronic whiteboard integrated with an OIS.
  • To track, record, and analyze timeframes in radiation oncology treatment planning.
  • To address the need for improved workflow and reduced treatment delays.

Main Methods:

  • Developed custom software using R on a local web server at Seattle Cancer Care Alliance (SCCA).
  • Integrated the electronic whiteboard with the Mosaiq OIS to automatically record time-stamped workflow stages.
  • Merged whiteboard logs with diagnostic factors from Mosaiq for significance evaluation.

Main Results:

  • Treatment intent, prescription complexity, and nodal involvement were key factors in planning time.
  • Contouring and planning times were significantly improved (p<10-14 and p<10-11, respectively).
  • Overall time to plan completion was reduced by 33% (5.1 days; p<10-11).

Conclusions:

  • Real-time task tracking tools are effective in radiotherapy planning.
  • The electronic whiteboard provides data-driven evidence supporting practice change implementation.
  • This approach enhances efficiency and potentially improves patient throughput in radiation oncology.