Sessions

14 – Using a Real-Time Data Science Platform to Drive Perioperative Quality and Efficiency (analyst, AI, clinical)

Perioperative care for surgery patients contribute to more than 50% of a hospital’s revenue. However, due to the complexity and dynamic nature of the perioperative environment, delivering optimal and efficient care is challenging. Real-time perioperative data science platforms support a wide ecosystem of data and technology solutions including real-time decision support, machine learning predictive models, and robotic business intelligence. Learn about solutions built on these platforms that have: delivered a return on investment (ROI) of $1.2 million per 10,000 surgeries in terms of quality of care using the real-time decision support and guidance system in over 400,000 surgeries; improved efficiencies, resulting in a potential to reduce overage by $263,000 using machine learning models to predict operating room and post-anesthesia care unit occupancy times; reduced surgical supplies cost by $565,000 using robotic business intelligence algorithms.

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