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SafetyNet: Streamlining and Automating QA in radiotherapy
Scott W Hadley1, Marc L Kessler, Dale W Litzenberg
1University of Michigan. swhadley@umich.edu.
Automating radiotherapy quality assurance (QA) streamlines processes, reducing human error and time. This approach enhances patient safety and expedites critical QA tests through software integration.
Area of Science:
- Medical Physics
- Radiation Oncology
- Software Engineering
Background:
- Radiotherapy quality assurance (QA) is critical but often time-consuming and prone to human error.
- Manual QA tasks like data transfer are inefficient and can lead to missed steps, impacting patient safety.
- Existing QA processes require significant human oversight, increasing costs and potential for errors.
Purpose of the Study:
- To streamline and automate radiotherapy quality assurance (QA) processes.
- To reduce the time and cost associated with manual QA tasks.
- To improve the reliability and efficiency of QA procedures through software solutions.
Main Methods:
- Decomposition of QA tasks into discrete, manageable steps.
- Development of software for autonomous or human-initiated automation of specific QA tasks.
- Collaboration between medical physicists and software engineers to identify and implement automation opportunities.
- Formal software development lifecycle including requirements, development, testing, and commissioning.
- Structured clinical release process involving evaluation, training, and deployment.
Main Results:
- Six key QA and safety processes were successfully improved.
- Automation of data transfer and implementation of computer-based checks significantly reduced manual effort.
- An event-driven framework facilitated system automation, enhancing efficiency.
- First-time quality was increased, and time spent on low-level tasks was reduced.
- Expedited patient-sensitive QA tests were achieved through coordinated engineering and clinical efforts.
Conclusions:
- Software-driven automation effectively addresses inefficiencies and unreliability in radiotherapy QA.
- Streamlining QA processes enhances operational efficiency and reduces costs.
- Collaborative development between medical physicists and software engineers is key to successful QA automation.
- Automated QA systems improve the speed and accuracy of patient-sensitive tests, enhancing overall safety.
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