Medi Assist Launches New AI Platforms to Strengthen Healthcare Ecosystem

Medi Assist Launches New AI Platforms to Strengthen Healthcare Ecosystem

Medi Assist has launched two AI platforms, MAven Guard for real-time fraud detection and MAgnum for improving hospital cashless workflows as a part of its new AI stack.

Bengaluru-based leading healthtech company, Medi Assist, has introduced two advanced AI-driven platforms, its newly launched AI stack, aimed at enhancing transparency, sustainability, and efficiency across its health-benefits ecosystem.

The two AI-based platforms include MAven Guard, which is a self-learning transaction-integrity platform that operates in real time to detect, prevent, and deter fraud, waste, and abuse (FWA) across health-benefits transactions.

The platform analyzes claim patterns by continuous learning, which is expected to curb leakages and enhance transparency among stakeholders in the insurance system.

Also, it has launched MAgnum, a hospital-enablement tool designed to support smoother cashless processes for hospitals. The platform supports providers by improving turnaround times, reducing administrative friction, and making cashless claim processing more efficient for both hospitals and patients.

According to the company, the two solutions are part of its broader effort to build a sustainable, transparent, and automation-led health-benefits infrastructure for insurers, hospitals, and policyholders.

Reportedly, the company has also partnered with Boston Consulting Group (BCG) to release a new report titled “From Suspicion to Solution: A Strategic Approach to Health Insurance Fraud”.

The report estimates that fraud, waste, and abuse cause annual losses of INR 8,000–10,000 crore in India’s health insurance sector, affecting premiums, insurer margins, and public health resources.

It further attributes these leakages to issues such as fragmented data, weak controls, and misaligned incentives.

To address this, the report outlines a framework focused on Prevention, Detection, and Deterrence, and recommends steps including a unified national codebook, governance for generative AI tools, and real-time data sharing through ABDM and the National Health Claims Exchange.

Commenting on the findings, Satish Gidugu, CEO of Medi Assist, said, “India’s health system stands at a critical juncture, with the next decade set to be defined by connected data and intelligent automation. Technology and AI are pivotal in proactively tackling fraud, waste, and abuse, which currently account for significant losses each year. By embedding digital trust and transparency into the health insurance infrastructure, we can ensure that healthcare remains accessible, affordable, and accountable for all citizens.”

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