Practical guidance for predictive flow: How University Health is improving ED + inpatient throughput
Wednesday, March 11th, 2026 | 1:00 PM - 2:00 PM CT
Emergency departments often set the pace for the entire hospital. When admitted patients board for hours, the downstream effects strain staffing, delay discharges and erode capacity. University Health is addressing this challenge by strengthening the connection between ED operations and inpatient flow using real-time and predictive intelligence layered on its EHR.
In this 30-minute session, leaders from University Health share how the organization is evolving its approach to ED and inpatient throughput — moving beyond reactive bed management toward more predictable daily operations.
Attendees will hear how early signals from the ED now help inpatient teams plan placement sooner, run more focused huddles and align staffing to anticipated demand before units reach capacity.
Insights include:
In this 30-minute session, leaders from University Health share how the organization is evolving its approach to ED and inpatient throughput — moving beyond reactive bed management toward more predictable daily operations.
Attendees will hear how early signals from the ED now help inpatient teams plan placement sooner, run more focused huddles and align staffing to anticipated demand before units reach capacity.
Insights include:
- Why ED flow is a critical lever for unlocking inpatient capacity
- How early ED visibility supports better admission and discharge planning
- How predictive insights improve staffing decisions and huddle routines
- What effective operations–IT collaboration looks like in practice
Presenters:
Bill Phillips
EVP & COO,
University Health
Ashley Schutz, MHA, MLS(ASCP)
Director of IT Quality Assurance,
University Health
Moderator: