MobiHealth News January 2, 2026
Jessica Hagen

VeriFact analyzes statements in AI-generated clinical text against patients’ EHRs to identify factual errors, achieving 93.2% agreement with clinicians.

Researchers at Stanford University have developed a platform called VeriFact that pulls clinical data from a patient’s EHR and uses an large language model to determine whether AI-generated documentation about that patient is accurate.

According to a study published in NEJM AI, researchers sought to test the accuracy of text generated by LLMs in the clinical setting compared with a patient’s real medical record.

Researchers created VeriFact, a system that pulls relevant data from the EHR and analyzes it, using an “LLM-as-a-judge” approach to evaluate whether the generated statements are factually supported by the EHR data.

“VeriFact is an AI system...

Today's Sponsors

Venturous
ZeOmega

Today's Sponsor

Venturous

 
Topics: AI (Artificial Intelligence), Health System / Hospital, Provider, Technology
HCA’s 2025 revenue surpassed $75B: 10 things to know
Emergency department metrics vs. reality: Why the numbers lie
Rural hospitals can realize big gains through strategic EHR optimization
The 250 best hospitals, according to Healthgrades
Why clinical excellence isn’t enough to sustain a physician-owned hospital

Share Article