A study published by Oxford University Press in the Journal of the American Medical Informatics Association examines the current landscape of artificial intelligence (AI) adoption within U.S. healthcare systems. The research, conducted by the Scottsdale Institute and our partners, surveyed 43 healthcare systems representing 856 hospitals (14% of all U.S. hospitals), revealing the rapid advancement and early success of generative AI tools like Ambient Notes for clinical documentation, while also identifying key barriers such as immature AI tools, financial concerns, and regulatory uncertainty hindering broader AI integration.
The study was conducted by:
- Eric G. Poon, MD, MPH, Duke University Health System, Department of Medicine, and Department of Biostatistics and Bioinformatics, Duke University School of Medicine
- Christy Harris Lemak, PhD, Department of Health Services Administration, University of Alabama at Birmingham, and Scottsdale Institute
- Juan C. Rojas, MD, MS, Rush University System for Health
- Janet Guptill, MPH, Scottsdale Institute
- David Classen, MD, MS, Division of Epidemiology, University of Utah School of Medicine
About the Publication:
The study, titled “Adoption of artificial intelligence in healthcare: survey of health system priorities, successes, and challenges,” is published in the Journal of the American Medical Informatics Association.