In particular, little is known about how the use of ambient scribes may change documentation and management of neuropsychiatric symptoms.
To address this gap in knowledge, we drew on the electronic health records of annual visits in outpatient primary care clinics of 2 large academic health systems in eastern Massachusetts, which span academic medical centers, community hospitals, and affiliated outpatient practices.
A total of 20 302 notes across 4 types of visits were included in the analysis.
Estimated levels of RDoC symptoms in all 6 domains were significantly greater in the AI-scribed notes compared with other groups.
In a multiple logistic regression model, likelihood of a psychiatric intervention (referral, new diagnosis, or antidepressant prescription) was significantly lower among AI-scribed visits compared with contemporaneous unscribed visits (adjusted odds ratio, 0.83; 95% CI, 0.72-0.95), but not for human-scribed visits compared with contemporaneous unscribed visits (adjusted odds ratio, 0.97; 95% CI, 0.85-1.11).
In this retrospective cohort study using a matched case-control design examining outpatient primary care notes, incorporation of AI ambient scribes in primary care was associated with greater levels of neuropsychiatric symptom documentation but lesser likelihood of documented management of psychiatric symptoms.
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