Integration of a Large Language Model (LLM) for Women Centered Care

Nneka Mobisson of mDoc Healthcare in Nigeria will integrate ChatGPT-4 into their chatbot, Kem, which provides virtual self-care coaching for low-income women of reproductive age in Nigeria, to improve its accuracy and capacity to respond to queries with evidence-based information. The burden of maternal deaths in Nigeria remains inequitably high with many risks encountered even before conception, highlighting the importance of supporting self-care. They will assess the accuracy and empathy of Kem+ChatGPT's responses to diverse inquiries from women, its improved ability to triage based on reproductive stages and risk factors, and the effectiveness of human health coaches leveraging ChatGPT-4 as a resource for answering more complex questions. This will involve field testing with a cohort of 300 women of reproductive age. They will also hold a series of iterative user-testing workshops across the states with at least 160 members from communities to observe usability and provide feedback for product refinement.

Grant ID
INV-062594
Show on Hub
On
Show on Spoke
On
Follow-on Funding
Off
Lead Funding Organization
Initiatives
Principal Investigator
Individual Funder Information
Funding Organization
Funding Amount (in original currency)
96763.00
Funding Currency
USD
Funding Amount (in USD)
96763.00
Project Type
Project Primary Sector
Project Subsector
Funding Date Range
-
Funding Total (In US dollars)
96763.00
Co-Funded
False