Transforming Healthcare: How Cognizant is Driving the Data Revolution

Health care is changing fast. With the rise of artificial intelligence (AI), the industry is shifting from being labor-heavy to data-centric. This shift is comparable to when electronic medical records first entered the scene, transforming how health care functions.

One area feeling this change is provider credentialing—enrolling doctors in various insurance networks. Traditionally, this can take weeks and involve countless staff hours. But now, thanks to AI, it can be done in just hours or even minutes. Surya Gummadi, president of Cognizant Americas, highlights this transformation. AI not only speeds up administrative tasks but also streamlines processes like clinical trials and insurance authorizations, enhancing patient care.

Cognizant is a key player in this evolution. They support two-thirds of the insured population in the U.S. Gummadi describes their approach to AI in three steps. First, they improve productivity with AI tools. Next, they prepare data and technology for better AI integration. Finally, they coordinate multiple AI processes—what Gummadi calls "agentification"—to handle complex tasks seamlessly.

For instance, if an employee at Cognizant has a major life event, they only need to update their information once. The system handles updates across various applications automatically.

Cognizant’s influence in health care grew significantly after their $2.7 billion TriZetto acquisition in 2014. This deal created one of the largest health care tech infrastructures in the country, serving around 350 health insurers and processing claims for about 180 million people.

Gummadi emphasizes that Cognizant sees AI as a solution to improve business outcomes, not just as a tech upgrade. This mindset allows them to access new areas of value that were previously hidden. He points out that many businesses were skeptical about AI a year ago, but now there’s a shift from pilot experiments to large-scale implementation.

Regulatory concerns initially held back AI adoption in health care, given the industry’s strict rules. However, organizations are now finding creative ways to use AI within those constraints. They’re more willing to partner with service providers rather than trying to develop everything in-house. As Gummadi puts it, there is a collective realization that reinventing the wheel is unnecessary, and the race to implement AI is on.

This sweeping change in health care is more than just a technological upgrade. It’s about making information processing smarter and more efficient, ultimately leading to better patient outcomes. With AI, the health care landscape is not just evolving; it’s transforming into a smarter, more responsive system.

For those interested in exploring more about the impact of AI on healthcare, consider reading reports from the World Health Organization for a global perspective on these advancements.

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