Immunization Data: Innovating for Action (IDIA)

Grand Challenges India announced its fourth call ‘Immunization Data: Innovating for Action (IDIA)’ with technical partnership from the Ministry of Health and Family Welfare, Government of India, the Department of Health Research (DHR) and the Indian Council of Medical Research (ICMR).

The overall goal of the program is to conceptualize and demonstrate innovations in data systems for immunization to aid in real-time visibility of correlation between consumption and coverage of immunizations.

This program was aimed at seeking proposals that address the challenges in immunization data systems in India that are different from current approaches and stretch the frontiers of the programme. They should have the potential to be scaled up in multiple settings. The program also encouraged solutions that translate leading and best practices and solutions developed by the private sector as well as academic research, even from outside health sector.

70 proposals were received at the time of the call closing. These underwent a thorough review process and 9 projects were recommended by the Technical Advisory Group for funding.


1. HealthChain: an accelerator for immunization data integration, analysis, and use in India

Avalon Information Systems Pvt. Ltd., New Delhi

The projects aims to reconcile coverage (from ANMOL / CAS) and consumption data (from eVIN) using blockchain technology to create a robust, scalable, real-time tracking and triangulation system on immunization data in India. This solution will integrate the immunization data of the Mother and Child Tracking System (MCTS) with IndiaStack to offer a public health solution for immunization based on India’s unique identity project Aadhar.


2. Image recognition based data entry processes to ensure immunization completeness and auditing of reported data

OnionDev Technologies Pvt. Ltd., New Delhi

The proposed solution aims to develop an application for optical scanning of the Mother and Child Protection (MCP) card immunization record for use by frontline workers equipped with a mobile smartphone. Real-time point-of-service data entry will leapfrog the existing MCTS/ RCH approach based on data entry at the Primary Health Centre (PHC) to improve data accuracy, timeliness and completeness.


3. eVaccination: Immunization in the last mile        

Operation ASHA, New Delhi

EVaccination app to ensure each newborn’s vaccination through trained semi-literate local people as incentivized Community Health Workers (CHWs) to find, counsel and accompany new mothers to public hospitals for vaccination. This process will be verified by finger scans of the CHW and the mother. If a vaccine is missed the app will send SMSs to the CHW and the mother, to retrieve her immediately.


4. App for Tracking and triangulating Coverage and Vaccine Consumption on a GIS Platform to Assess Immunization Program Dynamics in India through Reliable and Timely Analytics and Visualisation of Data           

ML Infomap Pvt. Ltd., Delhi

The proposed solution aims to access, interface/integrate population coverage (HMIS/ANMOL) data and vaccination consumption (eVIN) data on a GIS server platform and to track and triangulate the datasets in near real time and enable quantitative analysis of these data sets and visualize the relevant KPI (Key Performance Indicators) through dynamic dashboards and active maps


5. Improving Immunization Data Quality for Action: Biometry Beneficiary Linkage and Data Convergence for Monitoring          

The INCLEN Trust International, Delhi

This proof of concept proposal aims at improving the immunization data quality (accuracy, validity, consistency, completeness and timeliness) through four approaches: (1) Aadhar (biometry/QR scan) and mobile number linkages of beneficiaries; (2) bridging ANMOL and eVIN platforms for data convergence; (3) user-friendly monitoring dashboards to empower the program managers for tracking and improving performance; and (4) generating timely and appropriate data inputs for HMIS.


6. Immunization Blockchain: Transforming Immunization Data Storage using Blockchain Technology       


The initial pilot seeks to create data connectors that will translate MCTS and E-Vin data into a common format and store it onto the blockchain. A blockchain database will be the secure, decentralized, common backbone for recording data from disparate sources like MCTS and e-VIN to allow the tracking of vaccinations from the factory to the beneficiary level by using Aadhaar/UPI.


7. IMMUNOCHAIN: A traceability solution for vaccines in immunization programs

IIITM-K, Trivandrum

IMMUNOCHAIN, is to build a big data and blockchain technologies powered, mobile/web enabled vaccine traceability solution for immunization programs in India. It is proposed to be vendor neutral, scalable, replicable and reusable across different immunization programs in any geographical context. The goal of the Immunochain is to address the problem of traceability of immunization vaccines from manufacturing facility, through the distribution mechanisms in cold storage network and the vaccine handling/administration facilities, till the end consumer.


8. Mobile Application For Immunization Data In India (MAIDI)      

 Indian Council of Medical Research Hq., Delhi       

The solution proposes to develop, pilot and assess the feasibility of an integrated mobile-based application tool to improve knowledge on India’s Universal Immunization Programme, uptake of routine immunization services, and data access targeting beneficiaries/care-givers, health care providers and the health system.


9. Nagarik Rog Pratirakshak: Unified Smart Immunization Coverage Monitoring And Analysis  (UNISICMA)

Indian Institute of Information Technology, Una in collaboration with Dr, R. Kanchana, Associate SSN College of Engineering

Proposing an infrastructure that embraces cloud and fog computing and involves a novel platform with machine-to-machine (MM) messaging, seamless data management, and the use of data fusion and decision fusion to facilitate immunization data coverage.

An mobile application with natural language interfaces and edge analytics, performing big data analytics by using deep learning and federated stream mining techniques that supports Online Analytical Processing (OLAP) of real-time data UniSICMA NITT – SSNCE 3 and deploying immunization real-time data analysis as Analytics As A Service (AaaS) to promote ease of accessibility and interoperability.