TAF’s Digital Public Health Program (DPHP) is built on a simple premise: last-mile solutions must work for last-mile workers and communities.
We are helping public health stakeholders and communities harness digital technologies and AI to transform maternal, newborn, child health and nutrition (MNCHN) outcomes. Our approach combines incremental scaling and institutionalisation of proven interventions with the creation of bespoke, leapfrog innovations for last-mile health.
Working within the public health system, we co-create solutions that are practical for frontline workers, responsive to community needs, and integrated with existing platforms, easing the workload of ASHAs and Anganwadi workers while improving care for mothers and children.
Our three ongoing initiatives are:
A real-time, AI-enabled care coordination platform for tracking high-risk cases, streamlining referrals, and improving service delivery.
An AI-powered digital companion for CHWs and mothers, offering:
An AI-powered data interface that lets public health officers ask questions of HMIS data in plain language and get instant, decision-ready visualisations. No querying expertise required. Designed to move analysis closer to the point of action, enabling real-time course corrections and evidence-based planning at every level of the health system.
Looking ahead, our roadmap includes voice-enabled data entry to reduce reporting burdens, AI-driven technical mentoring for real-time guidance, and predictive risk models to enable preventive, context-specific care.