The Christ Hospital achieves 69% early-stage lung cancer detection rate with Epic Art incidental finding extraction

Incidental lung findings buried in radiology reports frequently go untracked, delaying cancer diagnosis until later stages when treatment options are more limited. Without systematic AI-driven review, patients with early indicators may not receive timely follow-up.

Epic's Art AI was deployed to automatically extract incidental findings from radiology results and trigger follow-up workflows, ensuring patients with potential lung cancer indicators receive structured next steps within the EHR.

The Christ Hospital achieved a 69% early-stage detection rate for lung cancer, compared to the national average of 46%. This represents significantly more patients diagnosed at earlier, more treatable stages of the disease.

• Systematic AI review of radiology text reports can surface critical findings that would otherwise fall through the cracks
• Automated follow-up triggers embedded in the EHR improve care continuity without adding manual workload
• EHR-integrated AI can lift early detection rates substantially above national benchmarks