Objective:

To support timely, coordinated patient care by identifying and prioritizing incidental findings in radiology reports.

Approach:

• Technology Implementation: Baptist Health launched Eon, an AI-enabled software platform that analyzes radiology reports to identify incidental findings.
• Risk Stratification: The platform categorizes findings into low-, medium-, and high-risk categories to aid clinical review and follow-up workflows.
• Clinical Focus: Initially focuses on incidental findings in lung and pancreas, with plans to expand to breast, thyroid, kidney, and liver.

Key Findings:

• The tool helps clinical teams prioritize cases and manage next steps more efficiently.
• 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.

Interpretation:

Limitations:

• The ordering physician retains full discretion to manage follow-up directly.

Conclusion:

Eon is designed to advance Baptist Health's capabilities in identifying patients needing follow-up care systematically.

Sources:

• Baptist Health