Healthcare Data Collaboration Gets a Boost From AI
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Emids' CAIO on Why Healthcare Leaders Are Treating AI as an Enterprise Investment Healthcare organizations are moving beyond debating AI's value and focusing on how to scale it. According to Emids' State of Healthcare AI in 2026 survey, 65% of healthcare leaders rank AI and automation as their top investment priority, reflecting a shift toward enterprisewide adoption.
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Healthcare Data Collaboration Gets a Boost From AI
Emids' CAIO on Why Healthcare Leaders Are Treating AI as an Enterprise Investment
Sandhya Michu • June 29, 2026
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Sathiyan Kutty, chief AI officer, Emids
Healthcare leaders are increasingly recognizing that artificial intelligence is not simply another technology initiative but a new operating model for the enterprise.
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"AI is the new operating system for organizations; they are learning how to take calculated risks while still achieving the outcomes they seek," said Sathiyan Kutty, chief AI officer at Emids, a provider of digital transformation solutions across the healthcare and life science ecosystem.
That transformation is unfolding against a longstanding challenge in healthcare: data sharing. In the payer-provider ecosystem, providers and payers have been slow to share information, leading to fragmented data environments and persistent silos. Outdated processes and the slow adoption of interoperability standards have compounded the problem.
The CMS Interoperability and Prior Authorization Final Rule, known as CMS-0057-F, is now compelling payers and providers to share data in ways that voluntary interoperability initiatives never achieved. Combined with advances in agentic AI, these requirements are accelerating healthcare data exchange and collaboration across the ecosystem.
"I am genuinely bullish that in the next few years, we may see more data collaboration in healthcare than we have ever seen before," Kutty said.
In this video interview with ISMG, Kutty also discussed:
How CMS-0057-F is creating the data-sharing forcing function that interoperability standards never delivered;
Why AI governance remains underinvested across healthcare organizations;
The emergence of forward-deploy context engineers as a critical capability for scaling AI.
With more than two decades of experience spanning analytics, AI and technology-led growth, Kutty has built a reputation as a sharp and pragmatic leader in the field. His career spans leadership roles at some of the most recognized names in global technology and business, including Kaiser Permanente, Tesla and VMware, where he worked closely with C-suite leaders to translate advanced analytics into real business outcomes.