Q&A: Lessons Learned From Nutanix’s Healthcare Cloud Report

As healthcare organizations recognize the need to improve operational efficiency, ease clinical workflows, and enhance patient care and experience, they are increasingly turning to artificial intelligence. However, many organizations don’t have the proper infrastructure to support AI initiatives.

The 8th Annual Nutanix Healthcare Vertical Enterprise Cloud Index dives into healthcare’s current interest and preparedness related to AI. The report points out challenges including infrastructure readiness and shadow AI, plus other trends around containerization.

HealthTech spoke with Scott Ragsdale, vice president of sales for healthcare and SLED at Nutanix, about his biggest takeaways from the report and how healthcare organizations can navigate this space going forward.

READ MORE: Build a hybrid cloud and data center strategy that sustains care.

HEALTHTECH: What were some of the biggest findings from the report and what do they mean for healthcare organizations?

RAGSDALE: The biggest takeaway for me is that healthcare organizations are embracing AI at a fast pace, but their infrastructure isn’t evolving to keep up with it. It’s well known that healthcare has a lot of technical debt. Overcoming that to take on these new AI workloads is the biggest challenge for organizations. Eighty-eight percent of healthcare leaders told us their current infrastructure isn’t fully ready to support AI deployment, and it’s evident.