Use of clinical AI for treatment planning spikes, MGB study shows

Updated

Harvard researchers looked at OpenEvidence provider query data and found that clinicians use artificial intelligence to help inform their treatment and management decisions, rather than diagnoses.

The relationship between clinicians and clinical knowledge is changing, according to a new JAMA study that suggests a "growing share of knowledge access is shifting from recall to retrieval." 

Researchers also say by characterizing the scale, distribution and clinical content of clinician-AI interactions, their findings fill an evidence gap needed to further frameworks that properly evaluate and guide AI use in clinical practice. 

Among 950,000 clinicians who submitted more than 270 million queries of artificial intelligence over a two-and-a-half-year period, queries were highest for nurse practitioners, followed by physician assistants and physician residents and fellows, according to the report, published Oct. 15.

In the report, researchers found that treatment and management accounted for 33.1% of physician queries, and diagnosis for 13.9%.

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