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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.

Identify 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 surgical volumes

Proactive cancer diagnosis not only saves lives, but it can also transform how surgery centers grow. By leveraging your system's existing patient records for patient identification, you can spend less time on marketing and more time on curing patients.

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.

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It's a win-win-win.

Check out the resources below to learn how you can identify more patients, earlier in their journey, without spending on marketing.

 

 

Poster: Driving Bronchoscopy & Surgical Volumes with Early Detection AI

Our Lady of the Lake, a 900-bed system in Louisiana, partnered with Eon to manage both LDCT and IPN patients. Through this program, Eon ensured accurate identification of lung nodules, timely follow-up with patients, and robust reporting at the system level.

As presented at the 2024 CHEST Conference, Eon’s advanced AI dramatically increased the number of potential lung cancer patients identified. This resulted in a 193% increase in the system's robotic bronchoscopy volume and a 33% increase in surgical volume. The increased volume driven by Eon led to a 103% increase in cancer diagnosis, with 69% of cancers diagnosed in stages I and II.

 

Drive Bronch and Surgical Volumes
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What Could This Look Like at Your Facility

Based on data collected from 2 million scans at 900 facilities, below is the estimated number of malignant and resectable nodules we would anticipate surfacing at your organization.

Resectable Nodules 3
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Video: Creating Stage Shift with an Incidental Lung Nodule Program

Enterprise software analyzes imaging results of all patients treated at UCHealth - a leading academic medical center - 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. Key results include:

  • 2,514% increase in actively managed patients
  • 300+ new lung cancers diagnosed
  • 40% of cancers diagnosed in stage I
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Whitepaper: Accelerating the Care Continuum for Incidental Pulmonary Nodules

In this white paper, we demonstrate that timely care for incidental pulmonary nodules is imperative to diagnose and treat lung cancer at its earliest stages—and to increase the number of people who survive this disease.

 

accelerating
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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

 

lifepoint
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Celebrating Partner Successes in Stage Shift:

 

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Virtua diagnosed 52.2% of lung cancer cases in early stages

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UCHealth diagnosed 50% of lung cancer cases in early stages

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OLOL diagnosed 69% of lung cancer cases in early stages

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Sarasota Memorial diagnosed 57.6% of lung cancer cases in early stages

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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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