Updated Nov 18, 2019

Khushi Baby

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Decentralized digital health records for the last mile

Stage 4: Transition to Scale

Khushi Baby has monitored the health of 20,000+ mothers and infants across 350+ villages in Udaipur, India. Our 2 year 3000+ mother RCT showed a 12% increase in full infant immunization rates and 4% decrease in malnutrition.
Registered in United Statesin United States

Focus Areas:

Health, Digital Inclusion & Connectivity, Social and Behavior Change and 4 MoreSEE ALL

Health, Digital Inclusion & Connectivity, Social and Behavior Change, Human Centered Design, Public-Private Partnerships, Monitoring & Evaluation and Data/AnalyticsSEE LESS

Implemented In:



Lives Impacted to Date
Key Partners
Country Implemented In
Funds Raised to Date
Verified Funding


800000 children die every year from vaccine preventable disease in India. Nearly 60,000 mothers die from preventable causes in pregnancy. Too many, especially at the last mile, are falling through the cracks due to health systems that unreliable and accountable data.



We provide patients with a decentralized, wearable, culturally-appropriate health record. This battery-free, $0.70 necklace contains a Near Field Communication chip that stores the beneficiary's entire health record. Health workers can scan the necklace with our Android application to read and update the medical history at the point of care, without the need of connectivity. After returning to the city, data syncs to a dashboard for health officials to take actions in real time. With the dashboard we can schedule automated voice call reminders to specific families in the local dialect and specific messages to health worker teams over WhatsApp.

Target Beneficiaries

We empower mothers living in rural villages to take care of their health and the health of their children. We empower female frontline health workers to use technology to deliver more effective care and also thereby improve their digital literacy.

Mission and Vision

We believe that everyone deserves a personal health record that reflects their true medical history so that they can get informed care.

Competitive Advantage

All other mHealth systems rely on syncing before the frontline health worker goes to the field. If the patient comes from a new catchment area, the entire history has to be repeated.. The patient as a result does not receive informed care. With NFC and biometric technology we have decentralized the patient health record for the first time.
Our combination of NFC technology, biometric authentication, GPS, time-tracking, and data-driven models can both prevent false record creation or manipulation. This tech also allows us to detect if specific data values entered are likely fraudulent. Other mHealth platforms cannot detect whether the health worker actually saw a patient, or is just reporting so to "reach her target".
We are one of the few mHealth interventions to rigorously prove our impact. Over the course of a 2 year, 3000+ mother randomized controlled trial the Khushi Baby system improved infant immunization rates by 12% and decreased acute malnutrition by 4%.

Planned Goals and Milestones

We are partnering with GAVI, IPE Global, CIFF, and the District of Udaipur to expand our solution from 350+ villages in 5 blocks to cover all 2500+ villages in 12+ blocks across the district to cover 100K beneficiaries in the next year. Universally deploying our system across a district will serve as a stress test for the State Ministry of Health and Family Welfare of Rajasthan to see if they can expand it to all 33 districts under their mandate.
Funding Goal2,000,000
Projected Cumulative Lives Impacted200,000
New Implemented CountriesMalawi, Nepal, Kenya, Myanmar
New Featureuniversal health card, health worker data quality score, machine learning for maternal child health outcome prediction


Sep 2019
Funds RaisedVERIFIED
Maternal Newborn and Child Health
Implemented InIndia
Nov 2018
Lives Impacted
Jan 2018
Funds RaisedPENDING
Jul 2014
New Country Implemented In
May 2014
Funds RaisedPENDING
TITLEThorne Prize Winner
May 2014

Supporting Materials