CLINICAL AUTOMATION WITH VARIAN APIS 

Clinical Automation with Varian APIs Training Course 

Unlock the Future of Radiation Oncology: Clinical Automation with Varian APIs

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Empowering Clinicians and Developers for Safer, Efficient Workflows

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Are you ready to embrace the future of radiation oncology? Join us for a dynamic 2-day course that combines hands-on programming experience with practical knowledge transfer, equipping clinicians and developers with the skills to implement safe, efficient workflow automation in clinical practice.

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Course Highlights:

• Automation Unleashed: Delve into the world of automation centered on Varian products and Application Programming Interfaces (APIs) designed to enhance Treatment Planning Systems (TPS) and Oncology Information Systems (OIS).

• Strategic Objectives: Our course explores the appropriateness, benefits, and risks of automation in radiation oncology. You'll gain expertise in generating and modifying treatment planning data within the Eclipse TPS, automating QA tasks, integrating ARIA OIS with other software systems, and automating the creation and extraction of patient management data.

• Cutting-Edge Technologies: Get introduced to advanced software integration technologies, including RESTful interfaces and the FHIR standard, where available, to stay at the forefront of innovation.

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Course Topics:

• Radiation Therapy Workflow Automation: Streamline your clinical processes and improve efficiency.

• Structure Creation and Automated Contouring: Master automated contouring techniques for precise treatment plans.

• Plan Creation and Optimization Strategies: Optimize your planning strategies for the best patient outcomes.

• Plan Review and Documentation: Learn to streamline plan review and documentation processes for a more efficient clinical practice.

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Note: This course contains programming components that is often times at a more experienced level than some of the other courses offered by Gateway Scripts. Our primary focus is on understanding the Eclipse Scripting API and its potential to automate tasks in the radiation therapy field.