Programs
Over the last decade, we have integrated and scaled digital health solutions along with community outreach to address some of India’s most persistent public health challenges.
Across our programs
Some of our work spans every program area on this page. In Udaipur, Rajasthan, our field team has completed over 10,000 home visits and more than 1,000 care escalations across program areas.
10,000+
Home visits, Udaipur field team, across programs
1,000+
Care escalations, Udaipur field team, across programs
57,385
Calls placed and received across our programs in Rajasthan in 2025
01 Family Planning
Our family planning work starts with visibility. Unmet need is not spread evenly, and CHIP’s screening data combined with NFHS population data pointed to Pali district in Rajasthan, with the lowest modern contraceptive use and the highest unmet need in the state. We partnered with IPAS, ran focused trainings there, and a state mandate letter directed health workers to use CHIP due-lists for their outreach. Statewide, 6,688,746 eligible couples have been screened through the module.
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In Pali’s focus sectors, IUCD uptake rose sharply within months of the data-driven prioritization rollout, after a flat prior year.
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A state away in Nandurbar district, Maharashtra, line lists of high-risk eligible couples now tell the health department which villages need the next family planning camp. Outreach happens by name and by household.
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The Nandurbar Health Action Center has flagged 49,366 eligible couples as high risk. In the most recent quarter, 205 family planning procedures were completed among these high-risk couples: 91 laparoscopic tubal ligations and 114 no-scalpel vasectomies, through camps planned with district officials. What the camps taught us operationally is that the barrier was operating-theatre readiness at facilities, rather than community hesitation.
Screening and targeting now work at scale. The next step is converting identified unmet need into adopted methods, and that is where the current work is focused.
Finding unmet need, household by household.
02 Maternal Health
Identifying high-risk mothers in time and connecting them to care
Nandurbar carries a maternal mortality rate of 130 per 100,000 live births, four times the Maharashtra state average, and 68% of its pregnant women are anemic. The district’s Health Action Center synthesizes 47+ datasets, from SNCU discharge lists to health workers’ own high-risk nominations, to find the highest-risk pregnancies. Then callers and field monitors stay with each case until it resolves.
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The center’s callers hold follow-up contact with more than 90% of high-risk mothers and infants. The same loop runs in Udaipur, Rajasthan.
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In Nandurbar, the center has identified 7,270 high-risk pregnancies, tracked 6,540 of them, and escalated 287 cases; all 287 were resolved. In Udaipur, 94 maternal care loops closed.
From the case log
Eighth month, Jhadol block. At an outreach day her hemoglobin read 5.4, severe anemia, and the register notes she had never once been seen by a doctor. Her hamlet sits deep in hill terrain, far from the CHC, and no one had told her the exhaustion she felt was dangerous. Our team took her to the CHC gynecologist the next morning and stayed on the phone through all four iron sucrose doses. The last entry: a normal delivery, a healthy baby.
47+
datasets on one dashboard
90%+
contact with high-risk cases
Anemia and sickle cell
MAHILA, our smartphone tool that screens for anemia from a photo of the inner eyelid, showed 88–96% sensitivity in a prospective study of 3,021 women. It is now in multi-site clinical validation, at sites from Nandurbar’s district hospital to AIIMS institutes, and is expanding to a child cohort. It matters most in Nandurbar, where sickle cell disease is endemic: the district’s elimination mission has line-listed 1.1 million people aged 0 to 40, tested 69,378, and started 2,184 patients on hydroxyurea.
03 Child Health and Nutrition
Tracking severely malnourished children from identification to recovery
At state scale, NURTURE tracks 42,000 children with severe acute malnutrition end to end across all 36 districts of Maharashtra, linking the department that identifies a child to the department that treats her. The dashboard now shows exactly where children fall out of the treatment cascade.
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Across Maharashtra, 117K children flagged as possible severe acute malnutrition, including 18K confirmed SAM and 18K confirmed MAM cases, are now being followed through their referral pathway.
The system now sees where each child stands in the treatment cascade. The next step is completing referrals into Nutrition Rehabilitation Centres.
At district scale, the loop is already personal. In Nandurbar we follow up every SNCU discharge, the newborns at highest risk of future malnutrition. In Udaipur, risk stratification ranks which doors to knock on first, and the case register shows what happened next.
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In Nandurbar, 2,821 high-risk children have been identified and 2,808 of them tracked; of 201 escalated cases, 118 are resolved so far. In Udaipur, 352 child care loops closed.
47+
datasets on one dashboard
90%+
contact with high-risk cases
From the case log
Eighth month, Jhadol block. At an outreach day her hemoglobin read 5.4, severe anemia, and the register notes she had never once been seen by a doctor. Her hamlet sits deep in hill terrain, far from the CHC, and no one had told her the exhaustion she felt was dangerous. Our team took her to the CHC gynecologist the next morning and stayed on the phone through all four iron sucrose doses. The last entry: a normal delivery, a healthy baby.
Following children through the referral pathway · view the post on LinkedIn
04 Immunization
Finding children the system has missed and connecting them to the vaccinations they need
In Udaipur, our field team closed 579 zero-dose cases over two years: children who had never received a single vaccine, each one documented in our case register as found, counseled, vaccinated, and verified. Some closures came through system fixes. When one remote hamlet in Kotda had no session within reach, the team coordinated with the Block CMO to hold a special MCHN session in the village itself, and its children were vaccinated at home.
Across Rajasthan, CHIP flagged 96,000 suspected zero-dose children. Targeted outreach at that scale led to 6,700 zero-dose infants receiving first-time immunization updates. And because CHIP starts from a full health census of every household, the denominator includes the families the system has never seen, so left-out children can be identified and tracked, not only those already registered in RCH 2.0 or U-WIN.
+12%
improvement in full infant immunization when targeted follow-up closed the loop, in a randomized controlled trial. Read the evidence →
Immunization at the last mile watch on YouTube
05 Tuberculosis
Finding TB earlier and staying with each patient to the end of treatment
Rajasthan’s 2025 active case-finding round screened nearly 10 million vulnerable people across the state, targeted with CHIP’s census data. Within the state program, vulnerability-targeted screening improved the presumptive case detection rate 8x. Our ASHA follow-up calls confirmed 13,402 completed tests statewide, and 1,265 people across Rajasthan were found TB-positive and started on treatment.
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In Udaipur, our field team supported TB treatment follow-up by identifying 2,016 TB patients and conducting 1,890 home visits (1,400 unique patient visits). Through these follow-ups, 252 patients were referred for additional support, and 144 successfully completed treatment with assistance from the field monitor team.
From the case log
A homemaker in Udaipur district stopped her TB medicines halfway through treatment. She felt better, and her family had put its trust in faith healing instead. Half-finished treatment is how TB returns, and how it spreads. Our team kept visiting and counseled the family until she agreed to restart. She finished the full course; her final test came back negative.
8x
presumptive case detection rate, state ACF program
13,402
completed tests confirmed by follow-up across Rajasthan
06 Climate & Health
Heat, vector-borne disease, and air quality, mapped before the season starts.
Our climate work is specific: heat, vector-borne disease, and air quality. The Heat-Health Vulnerability Index maps risk block by block across 43 districts, so a district lead can see which blocks to protect before the summer arrives.
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In 2026 the index moved from map to action. Dedicated workshops with district leads in Churu, Jhunjhunu, and Jodhpur turned block-level risk into heat action plans, and Spark Action follow-ups closed the loop for the heat season in the identified blocks.
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Under the National Programme on Climate Change and Human Health, Khushi Baby’s dengue early-warning approach is being included in the national compendium on early warning signals for dengue, and its heat-health IEC materials have been shared by the Government of Rajasthan for inclusion in the national repository.
A 2026 heat-health vulnerability and planning workshop with district officials in Rajasthan.
07 Non-Communicable Diseases
The planning layer for the state’s next decisions
We do not run an NCD program today. What CHIP’s cross-cutting data already supports is the planning: Rajasthan’s statewide multidimensional poverty index, the climate-health dashboard, and access-to-care mapping that can show, for example, where strengthening emergency cardiac capacity would most shorten door-to-balloon time.
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When a state takes up an NCD program and decides where to build, the maps are ready.
Cardiac risk plotted against travel time to hospital care, for every village in Rajasthan.
