Rosie the Chatbot: Personalized Health Information for Mothers and Children
Rosie the Chatbot: Leveraging Automated and Personalized Health Information Communication to Reduce Disparities in Maternal and Child Health
This project is creating a friendly chatbot named Rosie to give personalized health information to new mothers, especially those from racial and ethnic minority groups, to help improve their health and their children's well-being.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Univ of Maryland, College Park NIH-funded |
| Lab location | 1 site (College Park, United States) |
| Project ID | NIH-11124244 on NIH RePORTER |
What this research studies
We are developing a special chatbot, Rosie, designed to offer flexible and tailored health information to new mothers. This tool aims to address common challenges like postpartum depression, ensuring children receive their well-child checkups, and promoting healthy practices such as safe sleep and breastfeeding. Unlike traditional programs that might be limited by staff or offer generic advice, Rosie provides personalized answers to individual questions. Our goal is for Rosie to be a widely accessible resource, reaching many families across different areas, and helping to reduce health differences among mothers and children.
Who could benefit from this research
Good fit: Ideal candidates are new mothers, particularly those from racial and ethnic minority groups, who could benefit from personalized health information and support.
Not a fit: Patients who do not have access to digital devices or the internet, or who prefer in-person support, may not receive direct benefit from this chatbot.
Why it matters
Potential benefit: If successful, this chatbot could provide accessible, personalized health guidance to new mothers, potentially improving maternal and child health outcomes and reducing health disparities.
How similar studies have performed: While personalized health communication is a growing field, this specific chatbot approach for maternal and child health disparities is a novel application building on recent advances in natural language processing.
Where this research is happening
College Park, United States
- Univ of Maryland, College Park — College Park, United States (Active)
Researchers
- Principal investigator: Nguyen, Thu — Univ of Maryland, College Park
- Study coordinator: Nguyen, Thu
About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page below.