An August 2026 Pew Research Center survey found that about 7 in 10 U.S. adults say it’s “extremely or very important” that a healthcare provider disclose that they’re using AI in their care, and 72% of them want to know if AI is used in notetaking in the background of a visit.
The organizations that are finding success in their AI adoption understand that governance requires a multidisciplinary approach. It’s not simply an IT project or a clinical one — many departments and stakeholders must be involved, from finance and legal to patient representatives. This won’t stifle innovation but rather enhance it, ensuring that a project has staying power beyond a pilot.
Healthcare AI Initiatives Need Governance From the Start
In this issue, HealthTech highlights the experiences of health systems that have put data and AI governance at the forefront as they continue to explore agentic AI solutions.
Stanford Health Care has a Data Science Executive Committee (DSEC) that oversees governance for AI models. For the Palo Alto, Calif.- based health system, safety and innovation progress in lockstep.
“Any new AI model that's going to come into the organization that will affect the clinical outcomes in any way has to be presented to the DSEC,” says Christian Lindmark, vice president and CTO at Stanford Health Care and the Stanford University School of Medicine. “They review all those requests and sign off to ensure that they agree with the assessment that's been done, and it’s responsible and safe for deployment.”
TETA ALIM
