Image: The Hindu
Discover how Star Health Insurance plans to double AI usage in claims to 50% by 2027, enhancing efficiency and customer satisfaction.
GlipzoStar Health and Allied Insurance Company Ltd. is gearing up for a significant transformation in its claims processing. The health insurer aims to elevate the percentage of cashless claims settled via Artificial Intelligence (AI) from the current 20% to an ambitious 50% within the next two years. This bold move is part of a broader strategy to enhance efficiency and reduce manual intervention in claims handling. Anand Roy, the Managing Director and CEO of Star Health, along with Himanshu Walia, the Whole-time Director, shared insights on this exciting development during a recent press interaction.
The company is set to enhance its technological investments, with plans to increase its budget from around ₹120 crore this fiscal year to ₹200 crore in FY27. Walia emphasized, “The future is digital, tech, and AI, and we are investing heavily in these areas to streamline our operations.” This investment will cover various facets of the business, including customer acquisition, claims settlement, and cybersecurity.
The integration of AI and Machine Learning (ML) into the claims process is expected to significantly improve turnaround times, allowing for quicker settlements. Walia mentioned that most claims can be resolved through AI, only referring complicated cases to human agents. Currently, Star Health processes more than 5,800 claims daily, with an impressive 96% of cashless claims completed within three hours.
Star Health has developed sophisticated AI models utilizing data spanning the last 20 years. This data includes market specifics, average hospital stays, and disease costs, all crucial for effective claims processing. Walia noted, “Today, 20% of our claims are being settled through AI, and we anticipate this number to grow rapidly.” This data-driven approach not only streamlines operations but also aids in identifying fraudulent claims, which currently constitute about 7-8% of total claims in the health insurance sector.
In terms of regional growth, Star Health is making strides in Andhra Pradesh and Telangana, where it currently covers over 24 lakh lives. The Gross Written Premium (GWP) in these states reached ₹1,990 crore until February of this fiscal year, reflecting a solid 19% growth compared to the same period last year. This performance highlights the increasing trust and reliance on Star Health Insurance among the population in these regions.
Walia pointed out that the company’s commitment to technology is not just about enhancing operational efficiency but also about improving customer satisfaction. The quicker claims processing time, thanks to AI, translates into better service for clients, fostering trust and loyalty in the long run.
The push towards AI in health insurance is not merely a trend but a critical evolution in how insurance companies operate. As the industry grapples with challenges such as fraud and operational inefficiencies, adopting advanced technologies like AI can provide a competitive edge. Star Health's initiative serves as a case study for other insurers looking to modernize their operations.
As the health insurance landscape continues to evolve, companies like Star Health are at the forefront of innovation by leveraging technology to meet changing consumer needs. This strategic focus on AI not only positions Star Health as a leader in the market but also sets a benchmark for the industry moving forward.
Looking forward, stakeholders will be keen to observe how Star Health’s commitment to AI transforms its operational capabilities. The anticipated increase in AI-driven claims processing could redefine customer interactions and set new standards for efficiency in the sector. As more insurers recognize the value of technology, the landscape of health insurance is poised for remarkable changes that could enhance both consumer experience and industry profitability.
In conclusion, as Star Health continues to invest in AI and technology, the implications for the broader insurance market could be profound, encouraging a wave of digital transformation across the industry.
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