Discover what’s next for AI in healthcare in 2026 - Get Access to the Full Report
Dec 30, 2025

Frisco, Texas, USA, December 30, 2025 -- Radixweb recently released its 2026 Global AI in Healthcare Report, revealing how artificial intelligence is being adopted across healthcare organizations worldwide. It also included the challenges clinicians and IT teams face in using AI effectively.
Our report draws on an in-depth survey of more than 750 clinicians, healthcare IT leaders, and AI developers from across the globe. It provides a detailed look at how AI is shaping clinical care, administrative operations, and operational decision-making, as well as where skill gaps and integration challenges remain.
AI is stepping out of the testing phase in healthcare. The report shows that all surveyed organizations are using AI for either diagnostics, supporting clinical decisions, handling documentation, or managing everyday tasks. This tech is really helping to lighten the administrative load, make workflows smoother, and enhance patient care.
But there's also a catch. The survey reveals that the speed at which AI is being adopted is faster than organizations can keep up with. A whopping 85% of clinicians said they need more training to feel comfortable with interpreting AI outputs, grasping the limitations of these systems, and incorporating the suggestions into their clinical decisions.
“At Radixweb, we found that technology itself is ready, but clinicians and organizations need support to use it safely and effectively,” said Divyesh Patel, CEO of Radixweb.
Getting ready for long-term success with AI in healthcare goes beyond simply rolling it out. According to the report, it's super important to have good governance, clear accountability, and continuous skill training for both clinical staff and IT teams to really make the most of AI.
“Healthcare organizations are embracing AI, but sustainable success requires ongoing investment in people and processes,” said Dharmesh Acharya, COO of Radixweb.
The survey revealed that for 66% of organizations integrating AI with their current systems is a major challenge, mostly because their older infrastructure is not AI-ready. Some implementors have seen small efficiency boosts, but only 42% have seen strong ROI so far.
To really make the most of AI, businesses need updated, compatible systems, a solid link between their strategies and daily operations, and strong backing from leadership.
The report points to 2026 being a pivotal year, as companies are expected to shift from just using AI for assistance to fully integrating it into their operating models. To succeed, they'll need to focus on training clinicians and care teams, as well as creating infrastructure that's ready for AI and can work well with other systems. It is also crucial to set up governance frameworks to establish trust and accountability, and to keep an eye on how AI is performing and what clinical outcomes it is producing.
This report compiles anonymized survey responses and insights from healthcare professionals across the globe. It takes a thorough look at how AI is actually being used in practice, moving past just the adoption rates to really focus on the real-world impacts and the challenges that come along with them.
Here are some of the key insights it reveals:
These findings suggest that while AI has significant potential to improve healthcare, there's still a lot of work to be done to ensure it is implemented safely and effectively.
If you're interested in digging deeper into the data and findings from our survey, you can access the full 2026 Global AI in Healthcare Report here.
This press release was originally published here.