Overview:
Thefield of medical imaging is currently facing multiple challenges. The anticipatedrevisions in the Medicare Fees Schedule, along with a reduction inreimbursements, are expected to have a negative impact on organizational revenue streams. As a result, many imaging centers are currently seeking solutions designed to improve operational efficiency.
This case study demonstrates how an East Side imaging center implemented Agamon’s automated AI follow-up platform, leading to an increase of 113% in adherence rates, while enabling newly generated annual revenues of $1.9M.
Download the case study to learn more about the challenges , access the follow-up patient care gap and discover nw opportunities for growth.
“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 Generative AI to identify required follow-ups and behavioral-based automation to coordinate the operational workflow.
