Healthcare leaders face mounting pressure to ensure timely and comprehensive closed-loop tracking of medical imaging follow-up recommendations. Delays or missed follow-ups can compromise patient outcomes, increase medicolegal liability, and lead to lost revenue. Yale New Haven Health System’s Radiology Communication Center (RCC) tackled this challenge by implementing Agamon Health’s Coordinate Platform to automate imaging follow-up management. The result: Automated workflows that save time, reduce risk, and support continuity of care across one of the nation’s leading academic medical systems.
“Agamon has built advanced AI and NLP that assess the significance of findings extracted from unstructured medical text, starting with radiology reports. This helps us make sure no important clinical recommendation ever falls through the cracks.”
Dr. Daniel Siegal
Vice Chair of Radiology, Henry Ford Health System
“Agamon helps us gain meaningful insights on our performance, clinical decisions and patient conditions. This allows us to quickly react to different conditions and ultimately deliver faster & better care for our patients.״
Dr. Michal Guindy
Assuta Medical Centers
"Agamon addresses a clear need in the market to structure and analyze healthcare data with the help of machine learning and to turn it into meaningful real-world evidence."
Dr. Sebastian Guth
President, Bayer Pharmaceuticals
Agamon Health is a digital health company that closes care gaps by leveraging Agentic AI to identify required follow-ups and behavioral-based automation to coordinate the operational workflow.
