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Nordic and Modern Healthcare surveyed industry leaders to uncover where healthcare organizations stand today in AI preparedness and what areas need improvement.
The future of AI in healthcare depends on foundational readiness— governance, strategy, infrastructure, data, and workforce. Healthcare leaders should recognize opportunities for improvement and investment in these domains to realize long-term success in AI.

You'll discover:
- Where healthcare leaders feel confident across AI foundations
- The gap between confidence and reality for AI readiness
- Critical areas for investment in data capabilities, infrastructure, governance, and training
15% of respondents report having existing infrastructure ready for AI growth.
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Without the right systems, AI can't scale. |
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54% of respondents report being only somewhat or not at all capable of managing large datasets securely and effectively for AI.
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Robust, connected data is key to unlocking AI's potential. |
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Almost three-quarters of respondents express confidence in AI governance but report that establishment or improvement is still very much needed.
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Responsible AI starts with clear accountability. |
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Just 6% of organizations have extensive AI training in place, and nearly half are just beginning to implement it.
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Integration of AI has a strong cultural component. |
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Dive deeper into the insights
Our blog, “Survey highlights foundational readiness for AI in healthcare,” showcases the main themes that stand out as critical considerations for healthcare leaders invested in AI success. Learn about the top barriers to scalability and where healthcare organizations share challenges in scaling AI.
Interested in assessing your organization’s AI readiness? Schedule time today to talk with a Nordic expert.