The report is based on a survey of 150 healthcare professionals from 103 U.S. healthcare organizations.
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62% of healthcare leaders see fragmented data as the primary barrier to scaling AI in their organizations.
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While AI has moved from experimental to operational use, fragmented data environments are limiting its consistency and enterprise-level impact.
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63% of respondents report AI is integrated into at least one workflow; 52% across multiple departments; 45% have established AI governance or ethical frameworks.
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Fragmented data is considered a bigger obstacle than staff shortages, model transparency, or budget constraints.
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AI can reduce document processing time by up to 40%, especially when embedded in core systems linked to coding and revenue workflows.
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AI applications focus on high-frequency processes: workflow automation (52%), document support (46%), appointment and access management (41%), and revenue cycle automation (38%).
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