Healthify, Novo Nordisk India Launch AI-Enabled Patient Support Program for Obesity Care

Novo Nordisk India has partnered with Healthify to launch an AI-driven, dietitian-led Patient Support Program (PSP) designed to support individuals living with obesity through structured lifestyle guidance. 

The initiative aims to enhance the patient experience, strengthen long-term adherence, and integrate evidence-based lifestyle management alongside obesity medications, including GLP-1 therapies, which have seen a surge in prescription volume in recent years.

Healthify’s proprietary AI ecosystem, anchored by its conversational intelligence engine, Ria, assists users throughout their treatment cycles by analysing their nutrition patterns, providing real-time recommendations, and offering adaptive guidance as their medication and lifestyle needs evolve. 

By combining this AI layer with Healthify’s network of more than 500 dietitians and coaches, the PSP delivers a hybrid model of care that brings scale, personalisation, and clinical consistency to India’s growing population of people living with obesity.

The program aligns with a rising need for holistic obesity care. As more patients begin GLP-1 treatments, clinicians are increasingly emphasising structured lifestyle interventions, such as personalised nutrition planning, exercise routines, sleep monitoring, and progress tracking, to ensure sustainable weight management. 

The Healthify–Novo Nordisk PSP integrates these elements into a single, AI-orchestrated experience, enabling patients to track their habits, understand their metabolic responses, and maintain adherence through proactive nudges and data-driven insights.

This partnership allows us to bring AI-enabled, dietitian-guided personalised care to more patients across India, and the insights we gather here will help shape future global programs,” said Tushar Vashisht, Co-founder & CEO of Healthify.Recently, Ria 3.0 was released, showing the evolution of Healthify’s AI stack and moving beyond older voice assistants that relied on transcribing speech before generating a response. Operating natively in audio allows the system to detect emotions, handle diverse accents, support code-mixed languages, and respond with minimal latency.

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