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Healthcare Leaders Demand Clinical Expertise to Scale AI Adoption

Healthcare Leaders Demand Clinical Expertise to Scale AI Adoption

Ninety-two percent of U.S. healthcare leaders refuse to deploy artificial intelligence at scale without deep clinical expertise, according to a new national survey. While many organizations report successful pilot projects, 71% are failing to expand these tools, stalled by integration barriers rather than a lack of perceived value.

The survey results challenge the industry’s ongoing debate over whether AI belongs in clinical settings. Instead, findings suggest that once the technology proves its worth in a pilot, it hits a wall of structural friction. Integrating new tools into existing electronic health records remains the primary obstacle for 44% of respondents, followed by budgetary constraints and competing organizational priorities.

Leadership structures further complicate the landscape. In organizations where AI strategy is defined, clinical leads—rather than IT departments or executive teams—hold the most authority. Yet, a quarter of surveyed organizations lack any clear owner for AI strategy, leaving projects stranded in individual departments. For those looking to accelerate adoption, 48% of leaders stated that a solution embedded directly within the electronic health record is the most effective path forward.

Carta Healthcare CEO Brent Dover notes that the industry is shifting away from questioning the quality of AI toward demanding better workflow integration. Buyers are signaling a move away from theoretical promises, prioritizing vendors willing to assume performance risk and provide measurable clinical outcomes. Ultimately, the data points to a preference for 'Hybrid Intelligence,' where credentialed clinical judgment guides AI implementation to ensure trust and operational utility.

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