Oncology Resource Center
Intelligent Care saves lives.
40% of all radiology scans in the U.S. surface an abnormality and less than 30% of these get appropriate follow-up care.
This means that millions of patients are falling through the cracks, their cancer flying under the radar.
We’re here to help.
Capture abnormalities with 98.3% accuracy
By combining world-class AI, multi-modal linguistics models, and real-time EHR integrations, Eon can identify more patients than any other solution - without changing radiology workflows.
Drive significant downstream revenue
Proactive cancer diagnosis not only saves lives, but it can also transform how oncology service lines grow. For a 300-bed hospital, Eon generates an average of $15.3M in additional oncology-related volume from incidentally found lung nodules - in one year!
Champion stage shift in your community
With Eon, you can catch disease in its earliest stages, when it’s still treatable. Through early identification, care plan generation, and automated follow-up, we help systems drive stage shift at scale.
UCHealth
Creating a Community-Wide Safety Net for Centralized Management of Incidental Lung Nodule Findings
Enterprise intelligence software analyzes imaging results of all patients treated at UCHealth to identify and stratify those with high-risk findings. When a concerning abnormality is found, patients and providers are alerted to the finding, and patients are referred for additional follow-up. After this system-wide approach led to a 2,514% increase in actively managed patients, a centralized care management function was implemented to streamline processes, reducing the time to recommend next steps from 34 to 5 days.
Check out ACCC's blog and podcast about UCHealth's success story.
RWJBarnabas Health
A Sustainable Model for Improved Pancreatic Cyst Surveillance and Early Pancreatic Cancer Detection
Leveraging Eon's AI-driven incidental findings program, RWJBarnabas identifies and monitors pancreatic abnormalities for patients who are at increased risk of developing pancreatic cancer. To do so, software integrates with the EHR and facilitates patient identification, risk assessment, care plan tracking, patient/provider communication, outcomes recording, and registry functionality. In the 2 years following program implementation, 90 pancreatic cancers were detected from incidental findings (with 55% being diagnosed in earlier stages), as well as new instances of ampullary cancer, gallbladder cancer, and gastric cancer.
Check out ACCC's blog and podcast about RWJBarnabas' success story.
Celebrating Partner Successes in Stage Shift:
Virtua diagnosed 52.2% of lung cancer cases in early stages
UCHealth diagnosed 50% of lung cancer cases in early stages
OLOL diagnosed 69% of lung cancer cases in early stages
Sarasota Memorial diagnosed 57.6% of lung cancer cases in early stages
So, what's next?
Check out the resources below to learn how you can drive meaningful improvements in early cancer detection.
Whitepaper: Stop Missing Cancer! How to Redesign a Failed System in One Easy Step
In this white paper, Dr. Eric Newman reviews why care fails when an incidental finding is discovered, explores systems in healthcare, discusses why improving only part of a broken system will not work, and proposes an end-to-end solution that will help you solve this problem (with a little humor along the way).
Blog: Transforming Oncology Care: A Deep Dive into How AI is Advancing Early Cancer Detection
Of the 691 million scans performed at hospitals last year, many revealed potentially cancerous abnormalities, yet only 30% received appropriate follow-up. This lack of follow-through means millions of patients are falling through the cracks, and their cancer is growing, undiagnosed.
To better understand this issue, we sat down with three oncology leaders to see how they are using AI to catch cancer early, leading to tremendous outcomes, both clinically and financially.
If you’re looking to champion stage shift in 2025, check out our blog to see how AI is transforming early detection programs across the nation.
Case Study: Making Communities Healthier
In this case study, learn how Lifepoint Health built their Healthy Person Program, designed to improve the health of the communities they serve, by taking an enterprise-wide approach to the tracking and management of patients identified with incidental findings.
Key results include:
- An 80-95% patient return rate at the top 5 hospitals
- Over 50% reduction in time to treatment
- 180% increase in patients diagnosed with early stage cancer
- ~60,000 downstream exams and procedures
Published Article: AI in Precision Oncology: Incidental Findings and Missed Cancers
From high data volume to care handoff failures, several systemic issues contribute to patients with potential cancer slipping through the cracks. While AI offers promise in identifying abnormalities when they are at their most treatable, a comprehensive solution that incorporates people, processes, and technology is needed to ensure resolution.
If you are looking to create 'cancer diagnosis stage shift' in your community, addressing only part of the issue will not solve your problem. Delve deeper into a six-part process to address incidentally found cancers with this AI for Precision Oncology, "Incidental Findings and Missed Cancers: The Importance of a Total Solution."
Webinar: Making the Business Case for Incidental Findings
Innovative oncology leaders recognize the value of investing in early detection programs.
Proactive cancer diagnosis not only saves lives, it transforms how oncology service lines grow. For an average 300-bed hospital, Eon generates an average of $15.3M in additional downstream oncology-related volume from incidental findings – and that’s just in one year.
In this webinar, oncology leaders from LCMC Health, RWJBarnabas Health, and Virtua Health discuss why they launched incidental findings programs and the positive impact of these investments on cancer stage shift and downstream revenue.
Workbook: Learn what it takes to be successful from top health systems
Are you beginning to evaluate screening and incidental findings solutions for your hospital or health system?
Our Center of Excellence division put together a best practice workbook based on feedback from health systems with experience managing these programs. This comprehensive guide focuses on three core requirements for operationalizing incidental findings programs at scale.
To speak with a member of the Eon team, please complete the form below:
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Intelligent Care saves lives.
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