Snowflake and Hakkōda, an IBM Company, Release New Report on the Future of AI and Interoperability in Healthcare

NEW YORK – March 10, 2026 — Snowflake, the AI Data Cloud company, in collaboration with Hakkoda, an IBM Company, today announced the release of a new industry report examining how healthcare organizations and public health agencies are advancing artificial intelligence while strengthening data interoperability to support scalable transformation.

Based on insights from healthcare and public health decision-makers, the report explores where agentic AI adoption stands today and why modern, connected data foundations are becoming essential for organizations seeking to operationalize AI responsibly and at scale.

The findings show that AI is rapidly moving beyond experimentation and into real-world healthcare workflows. At the same time, organizations are recognizing that interoperable, standardized data environments are critical to unlocking the full value of AI investments.

Key findings from the report include:

• Agentic AI adoption is accelerating: 65% of healthcare and public health organizations have already adopted, are experimenting with, or plan to implement agentic AI within the next 12 months.
• Interoperability has become a strategic priority: Organizations increasingly view connected data ecosystems as foundational to scaling AI and enabling collaboration across care settings and agencies, with 85% of leaders reporting that improving interoperability has become a higher priority in the last two years.
• AI agents are expanding across healthcare workflows: Investment in AI is growing fast across healthcare organizations, with early deployments supporting mission-critical use cases like administrative workflow automation and revenue cycle operations, including billing and prior authorization.
• Public health agencies are prioritizing data standardization: Efforts are underway to improve operational efficiency and decision-making, foster collaboration between departments and legacy systems, help drive value-based care initiatives, and power compliant precision medicine.
• Modern data architectures are critical infrastructure: Connected, governed data environments are emerging as the backbone for AI performance, security, and long-term scalability.
• Early investment in interoperability is paying off: Organizations that address data fragmentation sooner are better positioned to translate AI investments into measurable efficiency gains, financial resilience, and improved patient outcomes.

Together, the findings highlight a broader shift underway in both private and public healthcare: AI initiatives are increasingly tied to the strength of the underlying data ecosystem that supports them and to measurable returns on investment.

“Across healthcare, AI is moving into operational environments and leaders are holding it to a higher standard,” said Jesse Cugliotta, Global Head of Healthcare and Life Sciences, Snowflake. “Organizations want measurable efficiency gains, workforce relief, and better patient outcomes. That only happens when clinical, financial, and operational data can move securely and seamlessly across systems. Interoperability is no longer a compliance checkbox — it’s the engine that makes scalable AI possible.”

The report also highlights how healthcare organizations are evolving their technology strategies to align AI innovation with strong governance, security, and interoperability standards. By doing so, these organizations ensuring that new capabilities translate into sustainable operational improvements and better patient outcomes.

“AI is rapidly becoming embedded in mission-critical healthcare workflows,” said Chris Puuri, Global Head of Healthcare and Life Sciences at Hakkoda. “The organizations that will see real returns are the ones tackling data fragmentation head-on and building interoperable foundations. That’s what turns AI investment into measurable efficiency, financial strength, and better patient outcomes.”

The full report, The Future of AI and Interoperability in Healthcare, is available for download here.