Curated News
By: NewsRamp Editorial Staff
December 25, 2025
Healthcare AI Adoption Soars, But 85% of Professionals Lack Critical Training
TLDR
- 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.
Impact - Why it Matters
This report reveals a critical vulnerability in healthcare's digital transformation that directly impacts patient care quality and safety. As AI systems increasingly influence clinical decisions—with 57% of clinicians already relying on them for decision-making—the massive training gap means healthcare professionals may be using powerful tools without proper understanding, potentially leading to misinterpretation of AI recommendations or over-reliance on automated systems. For patients, this translates to potential risks in diagnosis accuracy and treatment effectiveness. For healthcare organizations, the training deficit threatens to undermine the substantial investments being made in AI infrastructure, as untrained staff cannot maximize the technology's potential benefits. The integration challenges highlighted (affecting 66% of organizations) mean patients may experience fragmented care as AI systems fail to communicate across different healthcare platforms. This workforce readiness crisis comes at a time when healthcare systems globally are already strained, making effective AI implementation crucial for managing growing patient loads and complex medical data. The report's findings suggest that without urgent investment in training and integration, the healthcare industry risks creating a two-tier system where technological capability outpaces human competency, potentially compromising the very patient outcomes AI promises to improve.
Summary
Radixweb has unveiled its comprehensive 2026 Global AI in Healthcare Report, revealing a critical paradox in the healthcare industry's adoption of artificial intelligence. The study, based on insights from over 750 professionals including doctors, healthcare IT leaders, and AI developers, shows that while 100% of surveyed organizations now use AI in some capacity and 50% report real operational impact in areas like scheduling and documentation, a staggering 85% of healthcare professionals feel they lack adequate training to use these tools effectively. This creates a dangerous gap between rapid technological deployment and workforce readiness, with CEO Divyesh Patel emphasizing that "human readiness" has become the primary limiting factor rather than the technology itself.
The report identifies several compounding challenges beyond the training deficit. System integration remains a major hurdle, with 66% of IT leaders citing fragmented legacy systems and complex regulations as barriers to seamless AI workflow implementation. Furthermore, while early efficiency gains are noted, fewer than half (42%) of organizations have realized significant returns on their AI investments, highlighting a timing disconnect between costs and benefits. The study also provides encouraging performance metrics: 57% of clinicians report stronger clinical decision-making with AI assistance, 43% see reductions in clinical errors, and large language models (LLMs) lead development efforts with 60% of developers utilizing them. For complete findings, readers can access the detailed 2026 Global AI in Healthcare Report.
Looking ahead to 2026, Radixweb's analysis positions the coming year as crucial for transitioning from AI-assisted workflows to fully integrated systems. COO Dharmesh Acharya warns that "AI maturity is rising faster than organizational maturity," emphasizing that responsible scaling requires substantial investment in skills development, governance frameworks, and building trust between clinical and technical teams. The report serves as both a diagnostic tool and strategic playbook, stressing that future progress hinges on addressing workforce competency gaps, creating interoperable infrastructure, and establishing governance models that ensure clinical trust alongside operational growth in this rapidly evolving technological landscape.
Source Statement
This curated news summary relied on content disributed by 24-7 Press Release. Read the original source here, Healthcare AI Adoption Soars, But 85% of Professionals Lack Critical Training
