The role of interoperability in scaling AI
Developed jointly by Snowflake, Hakkoda, and IBM, The Future of AI + Interoperability in Healthcare report captures how healthcare and public health leaders are advancing AI adoption and strengthening interoperability to drive scalable transformation.
Aggregating perspectives from 183 healthcare executives, including nonprofit and public health leaders, the report analyzes the maturity of agentic AI initiatives and underscores the role of integrated data infrastructure in achieving sustainable scale.
Key takeaways from the report include:
- Agentic AI is moving quickly from pilot to production, with 65% of healthcare and public health organizations already adopting, testing, or planning implementation within 12 months.
- Interoperability has become a strategic priority, moving from a compliance initiative to a foundational element for scaling AI and improving cross-system collaboration.
- Public health agencies are accelerating data standardization efforts to improve operational efficiency and decision-making, foster collaboration between departments and legacy systems, help drive value-based care initiatives, power precision medicine, and maintain regulatory compliance.
- Modern, connected data architectures are emerging as critical infrastructure for AI performance, governance, and long-term scalability.
