Thomas Jefferson University Hospitals: Improving Resource Utilization with AI/ML

Optimizing resources in hospitals has never been more critical. Many are looking to find innovative ways to meet the population surge. Hospital leadership, operations, and clinical teams need trustworthy, innovative tools to ensure their investments meet strategic goals and patient needs. Thomas Jefferson University Hospitals optimized their 5-year master facility plan with predictive analytics and simulation. This improved patient flow, quality of care, and experience - using data to foresee effects across the entire hospital. Join us to see how predictive analytics and simulation can be a tool to drive long term planning optimization, including: 1. Determining optimal allocations of beds by service and level of care over the coming years. 2. Redesign and testing of patient placement algorithms to optimize patient flow and geographic placement. 3. Overall impact of master plan on key metrics such as ED/PACU boarders, Census, Preferred Placement and Length of Stay.