Transform incidental findings from a missed opportunity into a strategic growth driver.

The Eon Resource Center equips health system leaders with the data-driven strategies needed to transform incidental findings into clinical outcomes and actionable growth.

 

Featuring real-world case studies, physician perspectives, and expert white papers on AI governance, this collection offers a blueprint for scaling early detection programs. Learn how to navigate the hidden "validation burden" of clinical AI, automate complex administrative workflows, and drive long-term patient retention.

 

These assets provide proven frameworks to advance patient outcomes while unlocking operational efficiency and measurable financial ROI at scale.

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How Baptist Scaled Lung Outcomes Without Adding Headcount
BMHCC partnered with Eon to scale lung cancer detection across 100+ facilities. In just 12 months, they doubled incidental lung volume, identified 625 cancers, achieved an 89% follow-up rate, and generated $3.44M in new direct margin.
Case Studies and Insights
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How UCHealth Cut Time-to-Treatment and Hit 4-Month ROI
Discover how UCHealth transformed their incidental findings management with Eon. The partnership drove a 25x increase in identified patients, a 155% increase in on-time adherence, and delivered a break-even ROI in 4 months.
Case Studies and Insights
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How Virtua Retained 90% of Diagnosed Cancer Patients
See how Virtua Health unified lung cancer screening and incidental nodule management with Eon's AI platform , driving an 80% increase in screenings and retaining 90% of diagnosed patients in-network.
Case Studies and Insights
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How RWJBarnabas Drove Pancreatic Cancer Stage Shift
RWJBarnabas used Eon's AI to automate pancreatic cyst tracking across 12 hospitals. This unified approach drove a 37x increase in identified patients and caught 55% of cancers at earlier stages.
Case Studies and Insights
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How OLOL Achieved 70% Early-Stage Lung Diagnoses
Our Lady of the Lake partnered with Eon to scale their early detection program for incidental findings. They achieved a 70% early-stage lung cancer diagnosis rate and drove 12.5x growth in downstream exams.
Case Studies and Insights
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Insights from Lifepoint’s 53-Site Breast Program Transformation
Lifepoint Health deployed Eon Breast across 53 facilities to unify screening and incidental findings workflows. This revealed a 6.2x higher cancer diagnosis rate for incidentals and helped cut appointment times in half.
Case Studies and Insights
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Five Lessons for Building a Scalable Lung Nodule Program
Dr. Emily Cassidy reveals how Our Lady of the Lake scaled its lung program. Learn five key lessons to drive strategic results, achieving 70% early-stage diagnoses, 207% robotic bronchoscopy growth, and a 12.5x increase in downstream exams.
Clinical Perspectives
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Why "Low-Risk" Lung Nodules Need Surveillance
Eon CMO Dr. Scott Skibo reveals data presented at AABIP 2025 showing 26.2% of low- or moderate-risk nodules progress within a year. Discover why he urges health systems to automate systematic follow-up.
Clinical Perspectives
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The True Cost of the Validation Burden
AI creates value only when its outputs are trusted, making human validation a massive, hidden operational cost. Discover how different AI models impact staffing budgets and learn to evaluate clinical AI for sustainable scale.
Healthcare AI White Papers
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Trust in Clinical AI Is Designed, Not Declared
Trust in clinical AI is an operational outcome earned through consistent behavior. Discover how architectural choices influence the "Validation Burden" on your staff and why predictable AI is a prerequisite for sustainable scale.
Healthcare AI White Papers
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AI for Incidental Findings
This comprehensive guide to choosing between Natural Language Processing (NLP), Large Language Models (LLMs), and Computational Linguistics (CL) reveals how the hidden "Validation Burden" impacts staffing costs and why CL is vital for scalable care.
Healthcare AI White Papers
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The Clinician and Governance Buyer's Guide to AI Models in Healthcare
Evaluate NLP, LLMs, and Computational Linguistics. Learn why generative AI increases your validation burden and how deterministic CL delivers the safety and precision required to scale.
Healthcare AI White Papers