Healthcare organizations are under intense pressure to operationalize gen AI. But unlike many industries, they can’t afford to move fast and fix problems later. The earliest large-scale deployments, especially ambient clinical documentation, are already delivering measurable gains. At the same time, though, they’re exposing new fault lines around protected health information (PHI) and clinical trust.
What’s emerging isn’t a slowdown in AI adoption, but a redesign of how it’s introduced. Healthcare CIOs, CISOs, and clinical informatics leaders are converging on a shared understanding that scaling AI safely requires rethinking governance, security controls, and infrastructure in parallel.
According to Mark Mabus, CMIO and SVP of electronic health records at Parkview Health, ambient documentation, otherwise known as ambient listening or AI charting, has quickly become healthcare’s most visible gen AI use case. By capturing and summarizing physician-patient conversations, the technology promises to reduce clinician burnout while improving documentation quality. “It helps our providers get their notes done faster,” he says. “It reduces the amount of typing and their cognitive burden.”