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Study tracks 270 million clinical AI queries on OpenEvidence
A study of 270 million AI queries from 950,000 clinicians shows heavy use for treatment decisions, highlighting the need for quality evidence and more outcome research.

A new study examining activity on the OpenEvidence platform tracked 270 million clinical artificial intelligence queries. The analysis drew on usage data from 950,000 clinicians.
Researchers found that most queries centered on treatment decisions and patient management. The volume of activity underscores significant demand for AI tools in clinical settings.
The findings also reinforce the importance of ensuring evidence quality and conducting further outcome studies as use of the technology expands.