AI Enablement

You have probably stopped asking whether to adopt AI. That question has already been settled for you, and now there are harder questions in front of you. Which work should run on people? Which work should run on intelligent systems? And when one of those systems makes a decision that turns out wrong, who answers for it?

Healthcare providers face a persistent productivity paradox: digital tools keep multiplying, yet clinicians spend more time on screens and less with patients. At Cooper University Health Care, physicians and advanced practice providers were logging one to two hours after their shifts finishing documentation, reviewing in-basket messages, and finalizing notes. This "pajama time" was eroding work-life balance and diminishing the joy of practicing medicine. Cooper is not unique. Administrative overload, clinician burnout, and the growing complexity of documentation requirements are pressures shared across the provider landscape.

The greatest risk with Microsoft 365 Copilot in healthcare is not the AI itself; it is the data governance gaps the AI reveals. Copilot operates within your Microsoft 365 cloud and follows your existing permissions and policies. If those underlying policies are too lax, Copilot could surface information to people who should not see it. As one healthcare technology leader put it: "Copilot doesn't create new data access problems. It surfaces the ones you've been ignoring".