Like many systems, UCHealth faced growing pressure to expand patient access without increasing its footprint.
By replacing manual reporting mechanisms with an AI-powered operations command center, the system cut average length of stay by 0.4 days — freeing up the equivalent of 35 inpatient beds and enabling 1,380 more admissions, without adding physical beds or additional staff.
In this live session, UCHealth leaders will share how they used EHR and IT data to gain real-time, systemwide visibility — enabling faster, better decisions around patient flow, discharge planning and bed use.
Learn how UCHealth is:
- Predicting discharges and admissions by specified unit on an hourly basis
- Getting the right patients in the right bed (the first time)
- Uncovering admission and discharge bottlenecks by service and level of care
