Traditional methods of streamlining patient flow through lean process events, dashboards, bed meetings based on retrospective data and excessive provider alerts - while filled with good intention - are often not sustainable, nor do they solve the actual challenges with managing inpatient bed capacity. Streamlining patient flow requires 24/7 front-line and system-wide visibility into real-time data. Leveraging this information empowers frontline staff and providers to make impactful decisions in real-time with greater confidence and delivers some significant results.This presentation will discuss how the delivery of actionable information through the use of predictive and prescriptive analytics will enable your front-line and leadership teams to efficiently:
- Predict discharges and admissions by unit by time of day
- Uncover admission bottlenecks by service and level of care
- Highlight high-impact transfers
Learn how organizations have leveraged lightweight, cloud based technology via a virtual distributed capacity command center. Results include an 8% decrease in opportunity days (difference between med/surg LOS and CMS LOS), a 40 percentage point improvement in critical capacity decision-making confidence, and a 37% reduction in time to complete ICU transfers, even amid COVID surges.