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The Future of AI in Frontline Care | CHT Community Story

What does responsible, human-centered AI look like in community health?

In this CHT Community Story, Dalberg shares insights from in-country research in Kenya (Machakos County) and Zanzibar exploring how AI, through the Community Health Toolkit, can strengthen rather than disrupt community health systems. The session walks through their human-centered design process, key AI use cases, and a live demo of solutions built to support Community Health Workers (CHWs) and supervisors.

This conversation focuses on:

🤖 The real potential of AI within existing digital health systems
👩🏽‍⚕️ Supporting CHWs as experts in their own context
📊 Using AI to improve supervision, workflows, and decision-making
🧠 Behavioral and contextual design in digital health
🤝 Co-design with governments, supervisors, and frontline workers
🔎 Translating qualitative research into practical AI use cases
🚀 Piloting AI innovations responsibly in Africa

Rather than starting with technology, Dalberg began with people. They worked alongside ministries of health, CHW supervisors, and user champions to identify where AI could build efficiencies, strengthen service delivery, and enhance health outcomes.

If you’re working in digital health, AI for global health, primary health care, health systems strengthening, or community health workforce programs, this deep dive offers practical lessons from real-world implementation.

Subscribe for more conversations on digital public goods, AI in global health, and strengthening community health systems through technology.

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