Maximizing Throughput & Efficiency with Data Driven Integrated Capacity Management

Thursday, November 3, 2016 | 1:00pm - 2:00pm CT 

This session will explore how AnMed Health, located in Anderson, South Carolina is leveraging predictive analytics to solve the complex challenge of aligning capacity with demand, maximizing efficiency.  By aligning operational outcomes with leadership targets, we have improved processes and satisfaction for patients and staff.   Combining accurate predictions with real-time patient data, we have been able to curtail agency and overtime use, set and meet daily discharge targets and safely flex units up and down in advance – all despite a highly variable census, declining inpatient volumes and an ED that accounts for more than 66% of daily admissions. Attend this session to explore how a data-driven capacity management approach could impact outcomes in your organization.


  1. Describe methodology for using data to predict patient demand and resource allocation.
  2. Summarize outcomes that have been achieved with predictive analytics.
  3. Recognize barriers to overcome when implementing data-driven processes.