Beverly Young, Director, Nursing, Perioperative Services, Baltimore Washington Medical Center, The University of Maryland
Daniel Johnson, MSN RN, Director, Surgical Services, Lahey Hospital and Medical Center
Jeffrey Siewerdsen, PhD, Co-Lead, Focus Area Five, Surgical Data Sciences, Institute for Data Science in Oncology Department, Office of the President Division, The University of Texas MD Anderson Cancer Center
Artificial intelligence (AI) and automation are revolutionizing perioperative workflows by enhancing efficiency, reducing human error, and optimizing scheduling. From predictive analytics that forecast case durations to robotic process automation in documentation, hospitals are leveraging cutting-edge technologies to streamline operations. This session will feature real-world examples of AI-driven workflow improvements and discuss key implementation challenges.
Key Takeaways:
1. Understand how AI-powered scheduling and automation can enhance OR efficiency.
2. Explore real-world applications of AI in perioperative services, including robotics and predictive analytics.
3. Learn strategies for integrating AI into existing workflows without disrupting operations.