Rad AI’s best-in-class patient follow-up management and automated radiology impression technologies complement Siemens Healthineers’ impressive product portfolio
Rad AI today announced a strategic relationship with Siemens Healthineers in which Siemens Healthineers will resell Rad AI Continuity, a next-generation automated patient follow-up and management solution, and Rad AI Omni Impressions, the de facto proven automated report impression solution. This relationship will enable more hospitals and health systems to benefit from Rad AI’s leading generative AI capabilities.
Rad AI Continuity closes the loop on follow-up recommendations for significant incidental findings in radiology reports. It handles the widest range of incidental findings and provides considerable customizability and automation. Using AI-driven automation, Rad AI Continuity ensures that appropriate patient follow-up is communicated, ordered, scheduled, and completed. This can help improve patient outcomes, reduce health system liability, and create additional financial opportunity for health systems and radiology practices.
Rad AI Omni Impressions automatically generates a customized impression from the findings and clinical indication dictated by the radiologist, which can help provide time per report and productivity savings.
"Rad AI and Siemens Healthineers are dedicated to pioneering innovations that serve hospitals and health systems, ensuring optimal care is accessible to all. As the leader in generative AI for radiology, this relationship will rapidly expand the use of our cutting-edge solutions in hospitals across the country."
Doktor Gurson, co-founder and CEO of Rad AI
“Siemens Healthineers is excited to enter into this agreement with Rad AI, which will provide our customers with powerful AI tools to help their physicians optimize and streamline their radiology reporting, with significant benefits for the patient and the health system.”
Peter Shen, head of the Digital & Automation business for Siemens Healthineers North America
Source: Rad AI
