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Technology: CHIP

One platform for the ASHA, the ANM, and the Medical Officer

CHIP, the Community Health Integrated Platform, is the app in the frontline worker’s hand and the dashboard on the public health official’s desk. It coordinates the ASHA who visits the home, the ANM who runs the clinic day, and the Medical Officer who confirms the diagnosis, so one family’s care is one record, not three registers. The same longitudinal record follows a person through pregnancy, immunization, nutrition, TB, and beyond. And when an indicator falters, the Spark Action tool schedules an intervention at the community level, anything from a message campaign to a training session to a local deployment, and organizes the follow-up and the impact assessment.

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A digital health census lays
the foundation.

CHIP’s value starts with a census: every household visited, geo-located, and registered, 60 million people with longitudinal digital records. Every module builds on that foundation. Because the denominator is real, a due-list is complete, a coverage claim means something, and the person who never appeared in any register is finally visible.

60M

longitudinal records

85,000

health workers, one interface

11

state & central portal integrations

The dashboard

The platform includes the public health official.

District and state officials work on the same record the ASHA created, aggregated into dashboards of more than 800 indicators. In review meetings, the dashboard is the agenda: coverage by block, high-risk cases by village, and the follow-up each case received.

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Decisions made on CHIP data

The data is granular enough to act on, and the decisions happen at every level: at the

doorstep, in the counseling visit, and in the district office.

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Access map.jpg
Disease map.jpg

Tuberculosis

Where to screen first

Vulnerability-targeted screening focused Rajasthan’s active case-finding on the people most at risk, an  improvement in presumptive TB case detection.

Emergency care

Where new capacity shortens the ride

An access-to-care map shows where strengthening emergency services would most reduce travel time, down to door-to-balloon time for cardiac care.

Climate & heat

Which blocks to protect this summer

Block-level heat-vulnerability mapping (HHVI) drove district heat-action workshops in Churu, Jhunjhunu, and Jodhpur, closing the loop for the 2026 heat season.

Family planning

Where to hold the next camp

High-risk eligible-couple line lists tell the health department exactly which villages need the next family planning camp. Outreach by name, not by average.

Malnutrition & pregnancy

Which blocks to protect this summer

Risk-ranked household lists for SAM, high-risk pregnancy, and follow-up visits, built from an analysis that narrowed 952 villages to the 150 that need help first.

Zero-dose immunization

Which children no register could find

Children who had never received a single vaccine, flagged from the census, visited, vaccinated, and documented case by case.

952 villages → 150 priority → top 30

Six vulnerability layers (poverty, access including monsoon disruption, facility preparedness, maternal risk, child risk, and mortality clustering) narrow an entire district to the villages that need help first. Reviewed weekly with the District Collector.

How CHIP closes the loop.

The app collects. The dashboard flags. Automated calls and field teams follow up until the person actually receives the service, and the record shows it. This is what “closing the loop” means, and it is measurable.

+12%

improvement in full infant immunization when targeted follow-up closed the loop, in a randomized controlled trial.

Read the paper →

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Follow-up is a person at the door, not a notification. The record closes only when care arrives.

Feature: the integrated workplan

The ASHA’s week, on one screen.

Every due visit, every overdue follow-up, and every high-risk household, consolidated into a single workplan. No cross-referencing seven registers. The platform tells her who needs her on Tuesday.

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Built with the workers who use it: CHIP was co-developed over 250,000 hours in the field, and it consolidates the frontline worker’s entire program load into one offline-ready interface.

My workplan

Tue · 12 pending

ANC follow-up · high-risk pregnancy

Today

Hb re-check due · Ward 3

Zero-dose visit · Penta-1

Today

Family counseling · hamlet NW

SAM weight check

Wed

Post-MTC follow-up · day 14

TB adherence visit

Wed

Month 4 of treatment

MCHN day · session support

Thu

Hb re-check due · Ward 3

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The last-mile testbed

85,000 health workers use CHIP every month.

That makes CHIP a live testbed for what moves public health. New diagnostics, triage algorithms, payment models, and outreach methods can each be A/B tested against real process outcomes, at scale, before wider rollout.

If you are building for the last mile, this is where you find
out if it works.

In development

Frontier Innovations

Tools in development, in the order they strengthen the loop: better data from enhanced screening, better insights from the data, and better actions to close each case.

MAHILA · Better data

Anemia screening with a
smartphone photo

A smartphone photo of the inner eyelid, screened for maternal anemia in seconds: AUC 0.83-0.92 for severe anemia across a sample of >6k mothers, expanding to children, on the path to CDSCO certification. In Nandurbar, where sickle cell disease is endemic, it matters most.

AUC 0.83-0.92
>6000 women multi-site validation
CDSCO pathway by 2028
SPARK

Video triage for the sickest children.

Capillary-refill-time video assessment to prioritize in-hospital care for children under five. Pilot underway.

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Illustrative image.

SanketAI · Better insights

Answers from the data, in plain
language.

A public health official asks a question in plain language; SanketAI answers from the data. Reports that took a data team days now take a conversation.

Plain-language queries
Answers grounded in CHIP data
Saheli

An assistant ASHAs reach on WhatsApp

Saheli, also known as ASHA Saheli, is an LLM assistant that ASHAs reach on WhatsApp. Its first version reached 7,250 ASHAs; 70% of their questions were answered, and half of its use was in voice. After a year-long deployment study, we paused its clinical decision support for live patients. We see two roles ahead: a village health data analyst, and a counseling coach for practicing difficult conversations. Integration with CHIP and a voice-based reasoning model will be explored in the months ahead.

Sangam AI · Better actions

An AI call center for public health
follow-up

Upload messy field data and Sangam organizes it, ranks who needs a call first, places the call in the caller’s language, transcribes and summarizes it, and escalates what a human must handle. Guardrails first: verification, consent, and a human on every escalation. Built on a decade of call-center evidence, including our randomized controlled trial.

Voice agents in Marathi & Hindi
Human on every escalation
Measurement infrastructure

A platform that measures what works

CHIP sets the baseline: a census denominator for every village, so coverage claims mean something. It measures continuously, through the ASHAs who are the eyes and ears of the health system. And it powers real evaluation.

01

A randomized controlled trial of digital outreach

Targeted follow-up produced a 12% improvement in full infant immunization. Read the evidence →

02

Evidence the state could act on

CHIP data supported Rajasthan’s assessment of the Community Health Officer roll-out and its vulnerability-targeted TB surveillance, work that informed decisions at the state level.

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