Awards

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

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.

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. A 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.

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.

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 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.

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.

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

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.