In rural India, Accredited Social Health Activists (ASHAs) have been the essential link for pregnant women facing long distances to hospitals and doctor shortages. Now, these frontline workers are partnering with researchers to co-design an AI-powered pregnancy tracker that supports early detection of complications and timely referrals.
- ASHA workers co-design an AI app for pregnancy risk screening.
- Tool aids early detection and referral for complications in rural areas.
- Collaboration bridges digital health gaps with frontline insights.
What happened
ASHAs, or Accredited Social Health Activists, have been providing vital maternal and child health support in rural India for over two decades, often serving as the primary interface between the community and formal healthcare systems. Recognizing their essential role, the George Institute for Global Health and the University of Oxford have launched a project to create an AI-powered mobile application called SMARThealth Pregnancy 2. This app aims to help ASHA workers identify and manage high-risk pregnancies more effectively by screening for complications such as hypertension and gestational diabetes and flagging urgent referrals to healthcare facilities.
What sets this initiative apart is its co-design approach: ASHA workers themselves are actively involved in developing the app. Instead of being handed a pre-made tool, they contribute insights about their workflow, the information they need, and the most user-friendly ways to present it. This collaboration ensures that the technology fits the real-world challenges and communication needs of frontline health workers rather than imposing a one-size-fits-all solution.
Why it feels good
This project represents a significant shift in creating health technology by valuing the expertise of those who will use it most — the community health workers. Historically, many tools have been developed without input from ASHAs, resulting in underused apps and duplicated records. By engaging ASHAs from the beginning, this process promotes empowerment, ownership, and practical usability, making successful adoption more likely.
Furthermore, improving maternal health in rural and tribal parts of India addresses a persistent inequity. While India has made substantial progress in reducing maternal mortality over the past two decades, rural communities still face disproportionate risks due to distance from healthcare, shortage of skilled birth attendants, and low antenatal care coverage. This AI tool aims to bridge those gaps by amplifying ASHAs' ability to provide timely, targeted care, which can prevent complications from escalating.
What to enjoy or watch next
The rollout and testing of SMARThealth Pregnancy 2 will be an important milestone to watch in the coming months and years as it offers a model for human-centered digital health design globally. Observers will be interested to see how its integration affects ASHA workloads and whether it helps reduce missed complications and referrals.
Beyond this project, the co-design principle championed here could inspire other healthcare programs to rethink how technology is developed and deployed in underserved communities. The blending of community insight with innovative AI could become a beacon for more equitable and effective healthcare solutions worldwide, beginning with maternal health in rural India.