Making QA Work: 

Pro Tips and Clinical Impact Lessons for Optimizing Machine QA

Wednesday, September 24th at 12PM ET | 9AM PT

This session has applied for 1.0 MDCB & CAMPEP CE credit. 

Managing machine QA across CT simulators, linacs, HDR, CyberKnife, and more is no small feat. In this webinar, discover how RadMachine simplifies the process with automated image analysis, powerful data trending, and flexible customization.

Sam Jackman will showcase key RadMachine features—like spreadsheet integration, the local agent, and fault/service tracking—that bring efficiency to QA workflows. Adi Robinson of AdventHealth Orlando will share his clinical experience, highlighting how RadMachine helps automate image analysis, track SGRT data, and manage daily through annual QA for every machine, including HDR and Gamma Knife.

Objectives: 

• Understand how an automated analysis platform can provide efficiency for complex quality assurance workflows in radiation oncology

• Explore best practices implementing RadMachine, generally speaking, and more specifically how to manage unique data specific to specialty equipment (SGRT, Gamma Knife, etc.)

• Learn clinical strategies for optimizing quality assurance workflows with multiple staff including medical physics residents.