New AI-Enabled Technology Supports Radiology Follow-Up Throughout Baptist Health - Report - MDSpire
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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.
Clinical Report: New AI-Enabled Technology Supports Radiology Follow-Up
Overview
Baptist Health has launched Eon, an AI-enabled platform designed to analyze radiology reports and prioritize incidental findings for clinical review.
Background
The integration of AI in radiology is becoming increasingly important as it can improve the efficiency of managing incidental findings. The Eon platform addresses challenges in managing follow-up across numerous reports by categorizing findings based on risk and supporting clinical workflows.
Data Highlights
No numerical data or trial data provided in the source material.
Key Findings
Eon analyzes radiology reports to identify and prioritize incidental findings.
The platform categorizes findings into low-, medium-, and high-risk categories.
Low- and medium-risk cases are actively managed through the tool unless the ordering provider opts to manage follow-up directly.
High-risk findings are flagged for immediate attention through established workflows.
The technology aims to enhance care coordination and improve clinical workflows.
Clinical Implications
The Eon platform supports timely follow-up care by prioritizing incidental findings, allowing physicians to manage follow-up directly.
Conclusion
The implementation of Eon at Baptist Health focuses on enhancing radiology workflows and patient care.
