Nutanix (NASDAQ: NTNX), a leader in hybrid multicloud computing, has announced the findings of its seventh annual Healthcare Enterprise Cloud Index (ECI) survey and research report.

The global report, conducted by U.K. research firm Vanson Bourne in Fall 2024, surveyed 1,500 IT and DevOps/Platform Engineering decision-makers across various industries and regions, including North and South America, EMEA, and Asia-Pacific-Japan.

According to the report, 99% of healthcare organizations are now using GenAI applications or workloads. This adoption rate is the highest among all industries. These applications include AI-powered chatbots, code co-pilots, and clinical development automation tools.

However, 96% of respondents reported that their current data security and governance measures are not sufficient to support GenAI at scale. Concerns remain around integrating GenAI into existing IT infrastructure and managing healthcare data silos.

Jon Edwards, Director IS Infrastructure Engineering at Legacy Health, emphasized the need for responsible GenAI integration. He noted that investing in infrastructure is critical to ensure data privacy and long-term innovation.

Scott Ragsdale, Senior Director, Sales – Healthcare & SLED at Nutanix, highlighted the rapid adoption of GenAI in healthcare. He also pointed out ongoing concerns over data protection and infrastructure challenges.

Key findings from the report include:

• 99% of respondents face issues scaling GenAI workloads, with integration challenges being the top concern.
• 96% agreed that their organizations must improve GenAI security and governance.
• 92% benefit from adopting cloud native applications and containers.

Application containerization is also gaining traction in healthcare. Nearly all respondents stated their organizations are using or planning to use containers to improve data access and application deployment across hybrid and multicloud environments.

Despite healthcare’s traditional slow pace in adopting new technologies, the ease of accessing GenAI tools has driven rapid uptake. Still, the report revealed that real-world use cases, such as AI-powered support and code generation, face obstacles like scalability, complexity, and data privacy.

Nutanix reported that infrastructure modernization remains a priority for healthcare IT leaders. Enhancing data security and governance is essential to support the growing use of GenAI in mission-critical applications.

The company believes that addressing these infrastructure and security challenges will be key to unlocking GenAI’s full potential in healthcare.

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