According to a new research report released by Snowflake and Hakkoda, which surveyed 183 US senior healthcare leaders, the industry has reached a critical inflection point.
The central finding is that scaling AI beyond isolated pilot programs requires a massive upgrade in data sharing capabilities.
Driven by the need for scalable AI, 84.7% of healthcare decision-makers rate interoperability as a higher priority today than it was one to two years ago.
Operational efficiency is now the number one driver for this data sharing.
Rather than focusing purely on clinical diagnostics, organizations are pointing AI at the back office.
The top agentic AI use cases are streamlining administrative workflows (59.56%), clinical documentation (49.73%), and revenue cycle operations like billing and prior authorizations (46.99%).
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