Opportunities and risks of artificial intelligence in patient portal messaging in primary care

The rapid increase in patient portal messaging has heightened the workload for primary care physicians (PCPs), contributing to burnout. The use of generative artificial intelligence (AI) to draft responses to patient messages has shown promise in reducing cognitive burden, yet there is still much unknown about the safety and perceptions of using AI drafts. This cross-sectional simulation study assessed whether PCPs could identify and correct errors in AI-generated draft responses to patient portal messages. Twenty practicing PCPs reviewed 18 patient portal messages, four of which contained errors categorized as objective inaccuracies or potentially harmful omissions. Each error was insufficiently addressed by 13-15 participants, and 35-45% of erroneous drafts were submitted entirely unedited. While 80% of participants agreed AI drafts reduced cognitive workload and 75% found them safe, uncorrected errors highlight patient safety risks, underscoring the need for improved design, training, and error-detection mechanisms for AI tools.

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Publication Details

Journal
npj Digital Medicine
Published
2025-04-24
DOI
https://doi.org/10.1038/s41746-025-01586-2
Citations
15
Primary Topic
Electronic Health Records Systems
Type
article
Field-Weighted Citation Impact
44.06

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article

Opportunities and risks of artificial intelligence in patient portal messaging in primary care

Joshua Biro, Adam Visconti, Jeffrey M. Weinfeld, Raj M. Ratwani et al.
15 citations
npj Digital Medicine
Electronic Health Records Systems
44.06
article

Opportunities and risks of artificial intelligence in patient portal messaging in primary care

Joshua Biro, Adam Visconti, Jeffrey M. Weinfeld, Raj M. Ratwani, J. Malcolm McCurry, J. Gregory Trafton, Jessica L. Handley
article en
15 citations

Abstract

The rapid increase in patient portal messaging has heightened the workload for primary care physicians (PCPs), contributing to burnout. The use of generative artificial intelligence (AI) to draft responses to patient messages has shown promise in reducing cognitive burden, yet there is still much unknown about the safety and perceptions of using AI drafts. This cross-sectional simulation study assessed whether PCPs could identify and correct errors in AI-generated draft responses to patient portal messages. Twenty practicing PCPs reviewed 18 patient portal messages, four of which contained errors categorized as objective inaccuracies or potentially harmful omissions. Each error was insufficiently addressed by 13-15 participants, and 35-45% of erroneous drafts were submitted entirely unedited. While 80% of participants agreed AI drafts reduced cognitive workload and 75% found them safe, uncorrected errors highlight patient safety risks, underscoring the need for improved design, training, and error-detection mechanisms for AI tools.

npj Digital MedicineVol. 8(1)
United States Naval Research Laboratory (US), Georgetown University (US), Georgetown University Medical Center (US), MedStar Health (US)
Agency for Healthcare Research and Quality
Openalex Percentile: Top 0%
Electronic Health Records Systems
44.06
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Opportunities and risks of artificial intelligence in patient portal messaging in primary care — Joshua Biro, Adam Visconti, et al. · npj Digital Medicine (2025) | TGRS Research Map | TGRS