AI-Powered Documentation for Mental Health Providers: Retrospective Observational Mixed Methods Study

Our findings suggest that AI-powered documentation tools, such as Smart Notes, are a feasible and acceptable approach to supporting MHPs. The high adoption rate and favorable MHP feedback indicate the potential utility of these tools without compromising note quality. This study provides preliminary data regarding the application of AI documentation in the mental health care context, highlighting a promising path for future research and development in digital mental health.

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Publication Details

Journal
JMIR Formative Research
Published
2026-02-16
DOI
https://doi.org/10.2196/84628
Primary Topic
Digital Mental Health Interventions
Type
article
Field-Weighted Citation Impact
0.00
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article

AI-Powered Documentation for Mental Health Providers: Retrospective Observational Mixed Methods Study

Aarthi Padmanabhan, Emily Peake, Mackenzie Swirbul, Michael Rodio et al.
JMIR Formative Research
Digital Mental Health Interventions
article

AI-Powered Documentation for Mental Health Providers: Retrospective Observational Mixed Methods Study

Aarthi Padmanabhan, Emily Peake, Mackenzie Swirbul, Michael Rodio, Kaitlin McCrudden
article en

Abstract

Our findings suggest that AI-powered documentation tools, such as Smart Notes, are a feasible and acceptable approach to supporting MHPs. The high adoption rate and favorable MHP feedback indicate the potential utility of these tools without compromising note quality. This study provides preliminary data regarding the application of AI documentation in the mental health care context, highlighting a promising path for future research and development in digital mental health.

JMIR Formative ResearchVol. 10
Sanford Broadway Medical Center (US)
Openalex Percentile: Top 59%
Digital Mental Health Interventions
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