How Sarasota Memorial Achieved 75% Early-Stage Lung Cancer Detection

See how an AI-driven approach helped Sarasota Memorial Health (SMH) double the state and national average rates of early-stage lung cancer detection.

75%

early-stage lung cancer diagnosis rate (2025)

100x

increase in incidental findings managed

92%

adherence rate among high-risk patients

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THE CHALLENGE

Scale early detection and follow-up for lung cancer

To build on a strong early detection foundation, SMH sought to standardize incidental findings management.

Key Objectives

Standardization Goal: SMH aimed to ensure patients received timely follow-up care regardless of how a lung finding was discovered.

High Imaging Volumes: With 430k+ radiology exams each year clinical details were often buried in radiology reports.

Incidental Findings: Elective screenings only captured a percentage of at-risk patients.

THE SOLUTION

Deploy a tech-enabled approach to longitudinal care

The health system implemented Eon to expand coordination, follow-up, and standardization.

Key Enablers

Automated Tracking: Using established clinical guidelines SMH tracks patients over time alerting staff to anticipated care gaps.

Real-Time Analysis: The platform analyzes radiologist reports identifying at-risk patients early.

AI-Powered Platform: SMH deployed Eon to support incidental pulmonary nodule management.

THE RESULT

Diagnose more cancers earlier and drive adherence

SMH's screening and incidentals team diagnosed 75% of lung cancers at Stage I or II in 2025.

“We knew there was more we could do for our community. We just needed a reliable way to flag incidental findings in real time so we could proactively reach all of the people who could benefit from earlier evaluation.”

Amie J. Miller, MSN, APRN, Program Lead

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