How 7 health systems are driving measurable gains in capacity and throughput


Sarasota Memorial Health Care System increased discharges by 70% across sites and reduced length of stay by 13 hours. Texas Oncology grew infusion volume by 16% without adding staff or chairs. The University of Kansas Health System raised OR utilization from roughly 50% to more than 70%.

These gains are not isolated — they signal a broader shift in how hospitals are optimizing capacity to meet growing demand.

In this e-book, healthcare leaders share how AI and predictive analytics are helping align supply and demand across inpatient beds, operating rooms and infusion centers.

You'll learn how organizations including University Health, Penn Medicine, UCSF Health and Pomona Valley Hospital Medical Center are applying data-driven strategies to improve throughput, expand patient access and reduce operational strain — often without adding new resources.

Key insights include:

  • Inpatient flow: advancing discharge planning, increasing throughput and reducing LOS through predictive visibility

  • Perioperative operations: Increasing OR utilization, strengthening block management and expanding surgical access

  • Infusion center operations: Moving beyond traditional staffing models with workload-based, data-driven scheduling approaches

  • Enterprise decision-making: Using real-time data and predictive insights to enable faster, more coordinated operational decisions
 

Please fill out the form to download the e-Book.