Maharashtra Inks MoU with Wadhwani AI to Scale AI across Public Health Programmes

Maharashtra Inks MoU with Wadhwani AI to Scale AI across Public Health Programmes

The collaboration is positioned as part of Maharashtra’s strategy to build a technology-driven healthcare system that can deliver timely and targeted interventions across urban and rural populations.

The Maharashtra government has signed a memorandum of understanding with Wadhwani AI (LEHS AI Unit) to embed artificial intelligence technologies into public health systems, targeting improvements in Tuberculosis (TB) control, Maternal, Neonatal & Child Health (MNCH), Primary Healthcare and e-health and digital interventions.

Speaking on the initiative, Chief Minister Devendra Fadnavis said Maharashtra’s digital transformation is entering a new phase where AI will act as a “force multiplier” for public health services.

This development builds on India’s broader push toward digital health transformation through initiatives such as the Ayushman Bharat Digital Mission, which aims to create an integrated digital health ecosystem.

States are increasingly leveraging emerging technologies like AI to strengthen frontline healthcare delivery, especially in resource-constrained and high-burden regions.

The agreement was formalised under the guidance of Devendra Fadnavis, in the presence of Public Health and Family Welfare Minister Prakash Abitkar.

The collaboration is positioned as part of Maharashtra’s strategy to build a technology-driven healthcare system that can deliver timely and targeted interventions across urban and rural populations.

A key focus area is Tuberculosis (TB), where AI-powered tools will help identify patients at risk of treatment drop-off, complications, or non-adherence. The initiative also includes the deployment of an application called “Cough Against TB,” which analyses cough sounds to assist early screening at healthcare facilities.

In addition, micro-level vulnerability mapping will be used to identify high-risk zones based on factors such as population density, pollution, malnutrition, and healthcare access, enabling more focused case-finding efforts.

Beyond TB, the partnership aims to strengthen Maternal, Neonatal & Child Health (MNCH) programmes by improving early risk detection and monitoring, while also enhancing Primary Healthcare systems through better data-driven decision-making.

AI integration into e-health and digital interventions is expected to streamline workflows for healthcare workers and improve patient outcomes.

Stay tuned for more such updates on Digital Health News

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