Improving AI Adoption Through Better Clinician Support
As health systems across the U.S. continue to explore how artificial intelligence fits into their operations, a frequent point of concern is whether or not a solution can be trusted in a clinical context. How will an AI-powered solution affect patient outcomes? How will it impact staffing and workflow? These are all valid questions that should be addressed at an organizational level even before the search for a solution is in the works. Not having clear answers before deployment can lead to difficulties scaling a project. A 2026 survey from clinical platform company Carta Healthcare found…
