Episode #60. Why The Future Nurse Shift Won’t Start With A Keyboard, with Gregg Springan, a Nurse Executive for Epic

A practical path to reducing clinician burden is using ambient AI to capture documentation, allowing nurses to spend more time with patients.  In this episode, Gregg Springan, a nurse executive at Epic, discusses how his ICU background and “listen first” leadership philosophy shape technology designs that serve real clinical workflows. He explains why nurses belong inside health tech companies, then contrasts large-enterprise execution with startup speed from his time in robotics. Gregg dives into the documentation burden problem and what’s actually working in 2026: “nursing out loud” as a workflow shift, inpatient ambient documentation adoption, early results like minutes saved per shift, patient opt-in rates, and improved clinician sentiment. He also breaks down predictive analytics using large-scale de-identified data to inform bedside decisions and clarifies agentic AI—what it is, where it’s safe, and how it can offload administrative work while keeping humans in the loop.  Tune in and learn how AI can return time to care teams without sacrificing safety, trust, or human connection! Resources: Connect with and follow Gregg Springan on LinkedIn. Follow Epic on LinkedIn and visit their website! Read the Generative Medical Event Models Improve with Scale paper here.