Breaking barriers: harnessing artificial intelligence for a stigma-free, efficient HIV prevention assessment among adults in South Africa.

ABSTRACT:

Background

The quality of interactions between healthcare providers (HCPs) and recipients of care (ROC) are important for assessing HIV vulnerability and determining PrEP eligibility. However, these conversations are often limited because of high HCP workload and time constraints. Conversational agents powered by large language models (LLM) offer a promising solution to support such interactions. We explored the potential of an LLM-powered app prototype "Your Choice" to engage people who have recently tested HIV negative in discussions on HIV prevention and PrEP.

Objective

We assessed usability, acceptability, feasibility and appropriateness of the LLM-powered app prototype "Your Choice" in identifying HIV vulnerability and summarizing relevant information to support HCPs in

SUBMITTER: Govathson C 

PROVIDER: S-EPMC12908171 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature