New AI-Enabled Technology Supports Radiology Follow-Up Throughout Baptist Health
Baptist Health Herbert Wertheim Cancer Institute has launched Eon, an AI-enabled software platform that analyzes radiology reports and helps identify and prioritize incidental findings for clinical review, in an effort to support timely, coordinated patient care.
The tool analyzes the body of radiology reports to identify incidental findings that may require follow-up, helping clinical teams prioritize cases and manage next steps more efficiently. The platform is currently live at the Institute, in addition to select outpatient locations across Baptist Health, and is initially focused on incidental lung and pancreas findings, with plans to expand to additional clinical areas, including breast, thyroid, kidney and liver.
By stratifying findings into low-, medium- and high-risk categories and applying AI to data from the EMR, the technology supports clinical review and follow-up workflows. Low- and medium-risk cases are actively managed through the tool, unless the ordering provider elects to manage follow-up directly after being notified of the finding. High-risk findings are flagged for immediate attention through established workflows at the Institute, although the ordering physician may also choose to manage follow-up directly.
“This technology is set to advance our capabilities by helping Baptist Health physicians to identify patients who may need follow-up care sooner and more systematically,” said Dr. Leonard Kalman, Acting System Chief Executive, Baptist Health Cancer Care, and Acting Executive Medical Director, Baptist Health Herbert Wertheim Cancer Institute. “It is intended to support our ongoing commitment to early detection, improving care coordination, enhancing clinical workflows and ensuring patients receive the right care at the right time.”
Incidental findings can present important opportunities for earlier detection and intervention, but managing follow-up across large volumes of radiology reports can be complex. The technology uses AI to identify relevant findings, prioritize risk categories and support communication across care teams. However, the ordering physician retains full discretion to manage follow-up directly when appropriate.
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