Adoption of artificial intelligence in healthcare: survey of health system priorities, successes, and challenges

The US healthcare system faces significant challenges, including clinician burnout, operational inefficiencies, and concerns about patient safety. Artificial intelligence (AI), particularly generative AI, has the potential to address these challenges, but its adoption, effectiveness, and barriers to implementation are not well understood.

To evaluate the current state of AI adoption in US healthcare systems, assess successes and barriers to implementation during the early generative AI era. DESIGN, SETTING, AND PARTICIPANTS: This cross-sectional survey was conducted in Fall 2024, and included 67 health systems members of the Scottsdale Institute, a collaborative of US non-profit healthcare organizations. Forty-three health systems completed the survey (64% response rate). Respondents provided data on the deployment status and perceived success of 37 AI use cases across 10 categories. MAIN OUTCOMES AND MEASURES: The primary outcomes were the extent of AI use case development, piloting, or deployment, the degree of reported success for AI use cases, and the most significant barriers to adoption.