An integrated public health platform — CHIP
60 MILLION+
PEOPLE REGISTERED ACROSS 40K+ VILLAGES
ADVANCED MAPPING
MULTI-DIMENSIONAL SOCIAL HEALTH VULNERABILITY MAPPED AT VILLAGE LEVEL
10 MILLION+
ADDED THROUGH FIRST-TIME CENSUS IN 5 NEW DISTRICTS IN 2025
CHIP reduces over 180 redundant indicators across 12 national health programs.
By 2030, we want CHIP to reach 100 million people across three states, with at least 80% coverage with 80% data quality
CHIP is our response to the challenge of fragmented data that leads to fragmented care.
Co-developed with community health workers after 250,000 hours in the field, CHIP is a unified, offline-ready digital platform that consolidates the entire work requirement of frontline health workers across all primary health care programs and cadres into a single digital health interface.
A digital health census at the village level
Every deployment of the CHIP platform begins with a digital health census — a community health worker-led, structured enumeration of every household and family member within the geography. This establishes the population denominators that make all subsequent targeting possible. Without this foundation, insights are directional at best; with it, they are actionable.
The census establishes a live list of individuals against which longitudinal health programs can follow already-registered individuals. It maps multi-dimensional vulnerability at the village level — social, economic, geographic, and health — creating the substrate for every insight and every action that follows.
CHIP enables community health workers and health officials to move through the full Data–Insights–Action cycle from a single platform.
At the data layer, Community health workers use CHIP to perform a digital health census of their village, track health longitudinally across programs, and measure health service delivery progress in a unified interface. CHIP reduces over 180 redundant indicators over 12 national health programs.
At the insights layer, CHIP empowers health officials with AI and GIS-based dashboards providing real-time monitoring of community needs and health system performance across multiple health programs. Geospatial mapping makes it possible to see where high-risk populations are concentrated, where service delivery gaps exist, and where targeted action is most urgently needed. These insights flow to health officials at the block, district, and state level, enabling data-informed decision-making.
At the action layer, CHIP enables longitudinal follow-up across health areas, ensuring individuals identified as high-risk are tracked throughout their full care journey and not lost between visits, referrals, or departments. The dashboard enables health officials to directly link insights to actions by prompting users to schedule public health outreach interventions and initiating an automated impact assessment.
INTEGRATION AND INSTITUTIONALIZATION
CHIP does not operate as a standalone tool. It is designed as an interoperability layer across India's public health data ecosystem.
These integrations that allow linkage between the identification of a malnourished child in the nutrition department to their treatment completion in the health department; that allow TB surveillance to draw on a census of 40 million people to target the most vulnerable; and that allow an immunization campaign to surface the zero-dose infant the routine system had missed.
CHIP also powers India’s first village-level maps of climate-health vulnerability and multi-dimensional poverty for resource allocation decisions across departments. Beyond government systems, eight implementing and research partners have been onboarded onto CHIP.
AS OF 2025, THE PLATFORM IS CONNECTED TO 11 STATE AND CENTRAL GOVT. PLATFORM LINGAGES, ENABLING DATA TO FLOW ACROSS FORMERLY SILOED VERTICAL PROGRAMS.
FEATURED VERTICAL HEALTH REGISTRIES INTEGRATED
What's Unique About CHIP?
It is designed as a digital public good to be owned, adapted, and scaled by Govts.
A unified interface across health workers and national health programs.
It is co-designed with community health workers and built for the last mile.
It is evidence-based, scale-tested, and deployed at scale across 85,000 health workers reaching 60 million beneficiaries.
Frontier innovations: transforming health practice
KB is leveraging the community health worker's smartphone as a non-invasive tool to increase access to timely screening for already active referral pathways, starting with maternal anemia (MAHILA) and pediatric illness triage. Machine learning algorithms are being developed, validated, and prepared for integration into government digital health workflows.
MAHILA — trained on 3,021 pregnant women, the largest dataset to date — demonstrates over 94% sensitivity and 100% specificity for moderate-or-worse anemia in phase one research. Validation across medical colleges and primary health centers is underway, with independent certification as a software medical device targeted by 2028. This one example of how emerging diagnostics can be embedded and tested on a community health worker platform operating at scale.
KB is integrating LLM-based tools into community health worker, health official, and call center operator workflows. Beyond answering medical knowledge questions, these tools are designed to build capacity and direct effort toward high-impact decisions. AshaBot — a WhatsApp-based vernacular companion grounded in public health curriculum — had 7,800 ASHAs ask 70,000 questions in 2025. Evaluation focuses on accuracy, completeness, usefulness, timeliness, and harm.
KB is leveraging novel geospatial datasets — including CHIP social vulnerability data, Google population dynamic foundation models, and India-specific high-resolution climate models — to develop disease-specific vulnerability indices at the intersection of climate, environment, and health. The Climate Health Vulnerability Index (CHVI), developed in partnership with Google, is India's first village-level climate-health index and has already informed over 15 district action plans since its launch.
CHIP AS A MEASUREMENT TOOL FOR POLICY CHANGE
CHIP data has been used to inform the Maharashtra Tribal Health Report 2025
An effectiveness study for the Community Health Officer cadre roll-out in Rajasthan, and an Exemplars in Global Health report on digital health platform impact in India. Partners can leverage the CHIP platform to measure what works by observing changes in real-time, village-level data updated by community health workers.
Using the DIA framework, we believe we can compound learnings for public health impact. Each additional year of census data improves the accuracy of vulnerability targeting. Each additional integration unlocks a new cross-program view.
Each partner onboarded adds evidence towards effective and coordinated public health interventions. Each HAC cycle contributes to a playbook that makes the next deployment faster and better-calibrated.