NEWS BRIEF
Oncology Care PathwayRadiation therapy is a treatment nearly 60% of cancer patients[2] receive, yet it can take up to 30 days[3] just to begin. Radiation oncology workflows are complex, and teams work across many systems, but these systems rarely connect, contributing to possible treatment delays and errors. As a result, staff often re-enter the same data in multiple places, wasting time and increasing the risk of errors. Simple tasks, like importing treatment data, can take up to 17 manual steps. These inefficiencies can lead to potential inaccuracies that result in delayed treatments for patients and potentially poor outcomes.[4]
iRT (intelligent Radiation Therapy)
iRT is the company’s software solution for radiation therapy workflow management, designed to reduce the time it takes for patients to go from diagnosis to treatment. The iRT solution is AI-supported by GE HealthCare and third-party applications, and the latest features bring enhanced connectivity to the systems radiation oncology departments use most and use insights to improve departmental efficiency. It also has a capability for theranostics that manages complex workflows throughout the patient treatment journey, extending its expertise in radiation therapy workflows to this evolving field. Early adopters of Intelligent Radiation Therapy (iRT) to date have reduced simulation to treatment planning time from seven days to seven minutes[1] via integration with RayStation® by RaySearch Laboratories
Media contact
Karin Dalsin
Global Communications Director
Karin.Dalsin@gehealthcare.com
M: +1 612-219-2855
[2] American Society for Radiation Oncology. Radiation Oncology Case Rate (ROCR) Report. June 26, 2023. https://www.astro.org/ASTRO/media/ASTRO/Advocacy/PDFs/ROCRReport.pdf. [3]https://research.gehealthcare.com/across-the-enterprise/4-benefits-of-open-architecture-jb34091xx-in-intelligent-radiation-therapy-irt/.
[4] Gopan, Olga, Jing Zeng, Avrey Novak, Matthew Nyflot, and Eric Ford. 2016. “The Effectiveness of Pretreatment Physics Plan Review for Detecting Errors in Radiation Therapy.” Journal of Applied Clinical Medical Physics 17 (5): 16–31. https://doi.org/10.1118/1.4961010 . [1](https://aapm.onlinelibrary.wiley.com/doi/pdf/10.1118/1.4961010).