14 – Using a Real-Time Data Science Platform to Drive Perioperative Quality and Efficiency (analyst, AI, clinical)
Perioperative care for surgery patients contributes to 50 percent of a hospital’s revenue, yet it has high rates of avoidable complications and generates 20 to 30 percent of total hospital waste. Due to the complexity and dynamic nature of the perioperative environment, delivering optimal and efficient care is challenging. The University of Washington developed and implemented a point of care, real-time decision support system for perioperative care. Learn how this solution works seamlessly with a perioperative information management system to provide guidance on best practice protocols and deliver high-quality care with positive results, including an ROI of $1.3 million per 10,000 surgeries in terms of quality of care, patient safety, revenue capture, and waste reduction. The real-time guidance system has benefited more than 400,000 surgeries over five years in multiple hospitals and integrated in multiple EMR systems.