Faryaneh Poursardar
Old Dominion University, VA·Computer Science
People experiencing homelessness often lack steady insurance, cell phones and access to clinics with convenient hours. As a result, they often end up in emergency rooms for problems a walk-in clinic could handle.
- Fields
Computer Science
Public Health & Epidemiology
Social Science
- Topics
telehealth
homelessness
health equity
- Grants
- 1 known grant, last ended Sep 2026
What they work on
- Develop telehealth kiosks with large language model chat interfaces, built with healthcare providers and community organizations for homeless individuals in Hampton Roads, Virginia.
- Design question-based AI guidance that directs users to self-management, a nearby clinic appointment, or emergency care, and delivers education on chronic disease.
- Measure how kiosks placed in trusted service facilities change healthcare use patterns, health outcomes and well-being among homeless populations.
More about the research
This costs hospitals and cities a great deal and leaves chronic diseases poorly managed. Telehealth could help, but only if people can reach it.
Why it matters
Homeless individuals could get timely guidance on where to seek care and how to manage chronic illness, without needing a phone. Steering non-emergency cases to clinics could reduce emergency room crowding and costs for hospitals and cities. Results could also inform how communities use AI tools to close healthcare gaps for vulnerable groups.
Known grants
From NIH and NSF research grants. Labs often have other funding we can't see.
Closest labs
Ushma Upadhyay
University of California-San Francisco, CA·Public Health & Epidemiology
Compare telehealth and in-person reproductive healthcare for timing, costs, follow-up care and unplanned in-person visits, in two cohorts of 1,000 patients each recruited at clinics and through Google Ads.
Lu Lin
Pennsylvania State University, PA·Computer Science
Identify critical LLM safety concerns, gaps in current evaluation and infrastructure needs through structured surveys and interviews with experts across computing disciplines.
Prerna Juneja
Seattle University, WA·Computer Science
Build a taxonomy of user interactions with AI companion apps, covering motivations, challenges and values, by analyzing large-scale social media data and user interviews.
The school
Old Dominion University: 8 labs on PI Pages, $76M a year on research, 143 research doctorates a year.
Reach out
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