Unseen Insights: An AI–Powered Exploration of Secure Patient Messages in Ophthalmology
Secure patient messages frequently include clinically relevant symptoms with potential triage implications and demonstrate demographic differences in care-seeking behavior. Systematic analysis of message content may support safer triage, improved workflow efficiency, and more equitable delivery of ophthalmic care.
Authors
- Yasir J. Sepah (ORCID: https://orcid.org/0000-0002-0104-6284)
- Eleni Linos (ORCID: https://orcid.org/0000-0002-5856-6301)
- Jiyeong Kim (ORCID: https://orcid.org/0000-0002-2869-5751)
- Robert T Chang
- Zoha Z Fazal
- Sophia Y Wang
Institutions
- Stanford University (US)
Publication Details
- Journal
- medRxiv
- Published
- 2026-02-05
- DOI
- https://doi.org/10.64898/2026.02.03.26345491
- Primary Topic
- Electronic Health Records Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Institutes of Health