
As part of the collaboration, Star Health will adopt Medi Assist’s MAtrix platform, an AI-powered digital claims platform designed to streamline and accelerate claims settlement.
This collaboration is a significant step in Star Health’s ongoing claims transformation journey, focused on delivering faster settlements, better customer engagement, and technology-led service excellence.
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The partnership will help in the identification and elimination of fraud and the reduction of waste and abuse through AI tools. Through the partnership, Star Health Insurance is modernising its claims ecosystem to be future-ready. The platform will help the company strengthen its ability to manage rising claim volumes while maintaining speed, consistency, and transparency in its operations.
As part of this transformation, Star Health Insurance is scaling up its digital capabilities to meet growing service expectations from hospitals, policyholders and regulators. The use of the platform introduces intelligent automation, reduces manual steps, and streamlines workflows, enabling stronger turnaround performance across the network.
Anand Roy, MD and CEO, Star Health and Allied Insurance, said, “By reducing manual interventions and standardising processes, we aim to strengthen efficiency and reinforce trust with our policyholders.
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This, along with other initiatives being undertaken at Star Health Insurance, will ensure our focus remains on delivering transparent, reliable, and customer-first claims service that meets the evolving needs of the health insurance and healthcare landscape.”
The partnership also strengthens customer engagement, with AI-powered chatbots, virtual assistants, and omnichannel support available across mobile apps and WhatsApp. A unified API architecture ensures secure, real-time data exchange among insurers, healthcare providers, and the National Health Claims Exchange (NHCX), enhancing overall stakeholder connectivity.
Shares of Star Health & Allied Insurance Company Ltd ended at ₹429.25, down by ₹1.85, or 0.43%, on the BSE.
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