Low adherence to radiology follow-up recommendations is widespread across the US healthcare system. Literature indicates that 35% of imaging recommendations for follow-up care are not fulfilled. To better understand the scope and consequences of this problem, Agamon worked with several hospitals in the US to examine their data and identify solutions.
After analyzing 3 million radiology reports, we found that the actual number of unfulfilled imaging follow-up recommendations is much higher than existing medical literature states. More than 55% of patients do not adhere to radiology follow-up recommendations. With the help of Agamon Coordinate, these hospitals were able to ramp-up their overall follow-up rate, improve patient care, and increase revenue.
“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