Active

Healthy Future 2.0

We study how AI-informed recommendations and family preferences can help prioritize maternal and child health home-visit content in rural China. CareLoom is our open-source platform for scheduling visits and delivering curricula.

Funding Cyrus Tang Foundation (Stanford prime, UNC subaward)
Partners Stanford University, University of Nevada, Reno

Overview

Healthy Future 2.0 studies how AI-informed recommendations and family preferences can help prioritize maternal and child health home-visit content delivered by community health workers in rural China. CareLoom is our open-source platform for scheduling home visits and delivering curricula.

What we are studying

  • How family preferences can guide prioritization of home-visit content
  • Whether AI-informed recommendations improve the relevance of curriculum delivered by community health workers
  • Platform design for scheduling and content delivery at scale

Status

In development. We are not reporting enrollment figures, comparative results, or any Kenya implementation at this stage.

CareLoom is open source: github.com/DHEPLab/careloom.

For the open-source app, setup guides, curriculum, and published studies, see the Healthy Future page.