Health systems are putting AI to work, but many are still determining where workloads should run, how to support them reliably and what evidence justifies further investment. Adoption is broad. Infrastructure maturity is lagging.
To map that gap, Becker’s Healthcare, in collaboration with HP surveyed 100 healthcare technology leaders on the state of their AI infrastructure, where they place workloads, what slows them down and what evidence they need to move forward with confidence.
The findings offer IT and infrastructure leaders a peer-sourced look at where healthcare AI stands today, the decisions shaping its next phase and what it will take to move from pilot to scale.
Inside the report, you’ll learn:
- Where leaders are running AI workloads and the tradeoffs shaping those decisions
- Why widespread AI adoption hasn’t translated into infrastructure maturity
- Which barriers are slowing the move from pilot to production
- What evidence IT leaders need before committing to further AI investments
