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FAQ: Radixweb's 2026 Global AI in Healthcare Report on Training Gaps and Adoption Challenges
TL;DR
Radixweb's 2026 Global AI in Healthcare Report reveals a critical workforce training gap, offering early adopters a strategic advantage in developing skilled AI implementation teams.
The report analyzes survey data from 750 healthcare professionals, showing AI adoption in 100% of organizations but identifying training needs and integration challenges as key barriers.
By addressing the 85% training gap identified in Radixweb's report, healthcare organizations can improve patient care through more effective AI-assisted clinical decision-making and error reduction.
Radixweb's global study found that 57% of clinicians report stronger decision-making with AI, while 60% of developers use LLMs as their primary AI development tool.
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The report's key finding is that over 85% of healthcare professionals feel they need more training to use AI effectively in patient care and operations, revealing a significant gap between AI adoption and workforce readiness.
This skill gap introduces risk at scale, especially in environments where AI recommendations directly influence patient care, and prevents healthcare organizations from fully realizing AI's value despite its growing integration into workflows.
100% of surveyed healthcare organizations mentioned that they use AI in some form, indicating universal adoption across the sector.
50% of healthcare operations use AI for efficiency-driven workflows like scheduling, RCM, documentation, and automation and are seeing noticeable improvements in workflows and patient care.
The report is based on insights from over 750 professionals including doctors, top IT leaders in healthcare, and AI developers from around the world, with data gathered from clinicians, healthcare IT leaders, and AI developers globally.
Beyond training, system integration and value realization are compounding challenges, with 66% of healthcare IT leaders citing fragmented legacy systems and complex regulatory environments, and fewer than half (42%) of organizations realizing significant returns on their AI investments.
CEO Divyesh Patel stated that 'technology is no longer the limiting factor. Human readiness is,' while COO Dharmesh Acharya noted that 'AI maturity is rising faster than organizational maturity' and scaling responsibly requires investment in skills, governance, and trust.
2026 is set to mark a transition from AI-assisted workflows to systems that are fully integrated with AI, with future progress hinging on workforce skills, interoperable infrastructure, and governance models that ensure clinical trust alongside operational growth.
The report is titled 'The 2026 Global AI in Healthcare Report: A Playbook for HealthTech Leaders' and serves as a comprehensive study of how AI is being embraced and implemented in healthcare settings.
The report references AI developers from Radixweb, though the content doesn't specify where to obtain the full report itself.
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