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Session: Practical Improvements: Make It Go Away or Make It Better [Return to Session]

Practical Improvements: Make It Go Away Or Make It Better

J Hoisak1*, J Kerns2*, R Krauss3*, D Roberts4*, (1) UC San Diego, Chula Vista, CA, (2) No Institution,Katy, TX, (3) St. Francis Hospital, Memphis, TN, (4) University of Michigan Hospital, Ann Arbor, MI

Presentations

(Sunday, 3/27/2022) 2:00 PM - 4:00 PM [Central Time (GMT-5)]

Room: Celestin D-E

This session will delve into a variety of topics all of which focus on making practical improvements to existing workflows or tasks.

First the leveraging of AI and automation in different workflow segments will be explored. These include auto-segmentation and auto-planning as well as machine quality assurance and patient specific tasks. Next, recent innovations in machine QC will be presented as well as the impact of automation and other tools while maintaining task group compliance.

Lastly, a robust quality assurance program is necessary for radiosurgery, including machine and patient specific QA, and is critical for both patient safety and quality of care. This session will cover the quality assurance needs for radiosurgery treatment machines as well as a patient specific QA for multi-target SRS.

Learning Objectives:
1. Understand the current and future role of automation in the QA/QC realms.
2. Develop problem solving skills for assessing and resolving linac QA issues.
3. Learn the current methods for machine specific QA, including automation and the demonstrated techniques for multi-target patient-specific SRS QA.

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