Case Study

Identifying x3 More At-Risk Patients By Automating Radiology Follow-Ups

Henry Ford Health System + Agamon

Identifying x3 More At-Risk Patients By Automating Radiology Follow-Ups

Deploying Agamon Coordinate to help Henry Ford Health System streamline and scale radiology follow-up coordination.

Founded in 1915 by Henry Ford himself, Henry Ford Health System is a non-profit integrated health system, committed to improving lives through excellence in the science and art of healthcare and healing. Henry Ford Health System includes Henry Ford Medical Group, with more than 1,900 physicians and researchers practicing in more than 50 specialties at locations throughout Southeast and Central Michigan.

The mission of Henry Ford Innovations is to engineer the future of healthcare by providing physicians and staff with world-class resources to act on and implement great ideas. It's this mission that led the organization to team up with Agamon since our start-up days, identifying Agamon solutions for their potential to boost patient care and also hospitals' business practices by zeroing-in on shortcomings, untapped potential and missed opportunities.

Specifically, Henry Ford Innovations had identified untapped potential within the system's radiology department, where the process of catching and communicating follow-up recommendations involved running a keyword search over reports and reviewing the findings manually. This process was taking three full-time administrators to manage, was an extra burden on IT, was open to human error and hard to scale. On average, follow-up communications for non-urgent findings were running eight months behind.

Henry Ford Health System knew there was a better way to manage follow-ups. Envisaged was a software platform that could automatically detect follow-up recommendations within free-text radiology reports, organize this information and flag the need for follow-up care to ensure important next steps in the care plan would be taken.

To turn this vision into reality, Henry Ford Health System supported the development and integration of Agamon Coordinate: A care coordination platform powered by Natural Language Processing technology that can accurately detect actionable findings in clinical reports, and artificial intelligence technology that enables process automation.

We were impressed by Agamon’s capability to accurately and automatically discover key patient recommendations from our radiology reports Dr. Daniel Siegal, Vice Chair of Radiology at Henry Ford Health System

Quickly, the integration of Agamon Coordinate at Henry Ford led to more at-risk patients being recalled for follow-up scans. In fact, the Agamon Coordinate platform found three times more follow-up recommendations than the radiology department's internally-developed, manual system.

Deploying Agamon Coordinate enabled:

Efficient communication and higher standard of care. Agamon Coordinate uses Natural Language Processing (NLP) to automatically extract follow-up recommendations and related insights from radiology reports. The extracted follow-ups can be managed, communicated and tracked through the platform dashboard. Ensuring timely follow-up examinations and allowing patients to make the best decisions about their care.

Reduced liability risk. Agamon safeguards against missed follow-up recommendations and communication errors. The platform increased follow-up extraction accuracy from 87% to 97.6%, and found three times more follow-up recommendations than the internally-developed system. The dashboard makes it easier to verify follow-ups and send communication to ER, referring physicians, patients, etc, in a timely manner.

Zero headcount cost to scale. Agamon Coordinate can process thousands of radiology reports in just a few seconds. Deploying the platform meant reduced workload for radiologists and the operations team, and scalability to more locations. The platform software is managed by Agamon, which means less burden on the healthcare provider’s IT team.

Increased revenue. Deploying Agamon not only reduced staffing costs, but also meant a more accurate extraction of follow-up recommendations. The healthcare provider can now communicate with and bring back three times more patients whose recommended follow- ups were previously being missed.

More compliance with getting needed, timely care means better patient outcomes, reduced disease severity, fewer complications and a better patient experience Dr. Daniel Siegal

What our customers say…

“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

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

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

Dr. Sebastian Guth

President, Bayer Pharmaceuticals

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