Launch of Universal Immunisation Programme by PATH, CHRI, and Reckitt for Maternal and Child Health

Friday, 12 September 2025, 02:07

Universal immunisation programme initiatives are vital for improving maternal and child health outcomes in India. The partnership of Reckitt with PATH and CHRI seeks to leverage technology for impactful healthcare solutions in underserved communities. This innovative accelerator program targets the first 1,000 days of life, essential for mothers and children.
Indiatimes
Launch of Universal Immunisation Programme by PATH, CHRI, and Reckitt for Maternal and Child Health

Universal Immunisation Programme Launch

In a groundbreaking initiative, Reckitt has joined forces with PATH and the Centre for Health Research and Innovation (CHRI) to launch the Dettol Banega Swasth India - Maternal and Child Health Tech Accelerator. This ambitious project aims to enhance maternal and child health through technology-driven solutions, particularly in underserved regions of India.

The Importance of Early Interventions

  • The first 1,000 days of life are critical for infants and mothers.
  • This initiative seeks to identify innovative solutions that can empower communities.
  • Collaboration with health systems aims to improve overall health outcomes.

Strengthening Public Health

The accelerator is part of India's broader push towards Universal Health Coverage. Recent successes in reducing out-of-pocket healthcare expenses underscore the government's commitment to accessible healthcare. Through initiatives like Ayushman Bharat and Jan Aushadhi Pariyojana, the Indian healthcare landscape is becoming increasingly robust.

Partnerships for Lasting Change

  1. Inviting innovators to submit product-ready solutions.
  2. A high-impact pitch event scheduled for September 15th and 16th.
  3. Top innovations to be awarded and implemented with support from Plan India.

This article was prepared using information from open sources in accordance with the principles of Ethical Policy. The editorial team is not responsible for absolute accuracy, as it relies on data from the sources referenced.


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