Radixweb announced the launch of its 2026 Global AI in Healthcare Report, revealing that over 85% of healthcare professionals feel they need more training to use artificial intelligence effectively in patient care and operations. This finding highlights a growing gap between rapid AI adoption and workforce readiness, occurring as healthcare organizations prepare to move beyond pilot programs and embed AI into everyday workflows. The report is based on insights from over 750 professionals globally, including doctors, healthcare IT leaders, and AI developers, pulling together thousands of data points to provide a detailed examination of AI utilization in healthcare.
"Healthcare has clearly entered its AI-integrated phase," said Divyesh Patel, CEO of Radixweb. "What this report makes evident is that technology is no longer the limiting factor. Human readiness is. Clinicians recognize the value of AI, but without structured training and organizational support, that value cannot be fully realized." According to the report, 50% of healthcare operations use AI for efficiency-driven workflows such as scheduling, revenue cycle management, documentation, and automation, with both clinicians and IT leaders reporting noticeable improvements in workflows and patient care.
However, the study uncovers structural friction beneath this progress, with 85% of clinicians feeling the need for additional training despite increasing reliance on AI tools. This skill gap introduces risk at scale, particularly in environments where AI recommendations directly influence patient care. "AI maturity is rising faster than organizational maturity," said Dharmesh Acharya, COO of Radixweb. "We're seeing strong adoption, but scaling responsibly requires more than deployment. It requires investment in skills, governance, and trust across clinical and IT teams."
Beyond training, the report identifies system integration and value realization as compounding challenges. Fragmented legacy systems and complex regulatory environments continue to limit AI's ability to move seamlessly across workflows, according to 66% of healthcare IT leaders. Additionally, while many organizations have noted early efficiency improvements, fewer than half (42%) have realized significant returns, highlighting a disconnect between investment timing and impact. The report indicates 2026 will be a crucial year in AI's healthcare evolution, marking a transition from AI-assisted workflows to fully integrated systems, with future progress hinging on workforce skills, interoperable infrastructure, and governance models ensuring clinical trust alongside operational growth.
The 2026 Global AI in Healthcare Report: A Playbook for HealthTech Leaders provides comprehensive findings based on anonymous survey responses from global participants. Key statistics include 57% of clinicians reporting stronger clinical decision-making with AI, 66% of healthcare IT leaders citing system integration as the biggest adoption hurdle, 43% of clinicians seeing early reductions in clinical errors from AI use, 60% of developers using large language models in healthcare AI development, and 57% of developers ranking privacy and security as their top AI concern.
