#293 Reimagining Anesthesia With AI, Wearables, And Safety Culture

What if the anesthesia workstation could see trouble coming and stop it before it starts? We explore how anesthesia moves from reactive to predictive by blending AI, medical-grade wearables, and closed loop systems with a strong safety culture. The story of Alex—a 75-year-old who developed postoperative delirium and fell—anchors the stakes and shows how early signals, if recognized and acted on, can change a life.We break down practical uses of machine learning in the perioperative space: forecasting hypotension minutes ahead, integrating multimodal physiologic data for real-time decision support, and taming alarm fatigue with smarter, context-aware alerts. From operating room monitors to infusion pumps, interoperability turns scattered data into timely action. Automation takes the next step with closed loop control. Imagine EEG-guided dosing that keeps hypnosis within target ranges, fluid and vasopressor titration that stabilizes hemodynamics, and a supervisory controller that coordinates these loops so clinicians can focus on communication, situational awareness, and patient advocacy. Through it all, safety culture remains the foundation: psychological safety, shared learning, and consistent prioritization of safety over short-term operational pressures. Technology should amplify the human connection, not replace it.You’ll leave with a clear view of what to pilot now—AI decision support in high-yield scenarios, targeted wearable programs for high-risk pathways, and structured training that embeds safety into daily practice. If this vision sparks ideas or questions, reach out and join the conversation. Subscribe, share with a colleague who cares about perioperative safety, and leave a review to help more clinicians find the show.For show notes & transcript, visit our episode page at apsf.org: https://www.apsf.org/podcast/293-reimagining-anesthesia-with-ai-wearables-and-safety-culture/© 2026, The Anesthesia Patient Safety Foundation