Clairyon announced the publication of a cluster-randomized quality improvement study in JAMA Network Open evaluating its AI-driven Clinical Abstraction Agent for sepsis quality improvement.

Conducted across two academic emergency departments, the study examined the use of large language models to assess SEP-1 performance and provide near-real-time feedback to clinical teams.

The study reported:

• A 13 percentage-point improvement in overall SEP-1 compliance, increasing from 70.1% in the control group to 82.9% in the AI intervention group.
• 92% agreement between Clairyon’s AI system and expert human reviewers.
• Improved care compliance through rapid SEP-1 assessment and targeted clinical feedback.

By automating complex medical-record abstraction, Clairyon’s platform helps health systems move beyond delayed, retrospective reporting toward more timely quality monitoring and proactive care improvement.

Read the full press release on AP News

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