Use of a Medical Communication Framework to Assess the Quality of Generative Artificial Intelligence Replies to Primary Care Patient Portal Messages: Content Analysis
Abstract BackgroundThere is growing interest in applying generative artificial intelligence (GenAI) to respond to electronic patient portal messages, particularly in primary care where message volumes are highest. However, evaluations of GenAI as an inbox communication tool ar...
Saved in:
| Main Authors: | Natalie S Lee, Nathan Richards, Jodi Grandominico, Robert M Cronin, Amanda K Hendricks, Ravi S Tripathi, Daniel E Jonas |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
JMIR Publications
2025-07-01
|
| Series: | JMIR Formative Research |
| Online Access: | https://formative.jmir.org/2025/1/e71966 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Discussions of Cannabis Over Patient Portal Secure Messaging: Content Analysis
by: Vishal A Shetty, et al.
Published: (2024-12-01) -
Opportunities and risks of artificial intelligence in patient portal messaging in primary care
by: Joshua M. Biro, et al.
Published: (2025-04-01) -
Reply
by: Inderpal Randhawa, MD, et al.
Published: (2025-05-01) -
Patient–Health Care Professional Communication via a Secure Web-Based Portal in Severe Mental Health Conditions: Qualitative Analysis of Secure Messages
by: Eva Meier-Diedrich, et al.
Published: (2025-06-01) -
AI-generated draft replies to patient messages: exploring effects of implementation
by: Charlotte M. H. H. T. Bootsma-Robroeks, et al.
Published: (2025-06-01)