AI-Enabled Patient Throughput Coordination

Empower staff with dynamic, patient-level guidance that mobilizes coordinated discharge execution, focusing teams on the right activities at the right time to drive efficient patient throughput

How OHSU Alleviated Staffing Challenges in the OR

Challenge

Discharge processes are frequently disrupted by last-minute barriers and misaligned priorities, causing a concentrated surge of discharges in the middle of the day. This leads to extended lengths of stay, avoidable days, and bottlenecks that ripple through the entire hospital system, restricting access to care.

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Solution

By transitioning from reactive manual processes to a proactive, strategic throughput model powered by iQueue for Inpatient Flow’s predictive analytics and AI automation, healthcare organizations can finally solve the multifaceted discharge and patient flow challenges their care teams face daily. This data-driven approach enables:

Dynamic Discharge Predictions

Enhance compliance and accuracy of estimated discharge dates (EDD) with automated, predictive discharge date forecasts accessible across the care team, improving coordination and prioritization of discharge processes to improve patient flow efficiency.

Customized
Role-Based Worklists

Streamline daily workflows through automated, tailored worklists for each team member, ensuring focused attention on critical tasks like rounding priorities, discharge lounge candidates, complex post-acute placements and many others.

Automated Barrier Management

Identify and proactively address discharge barriers by combining patient-level predictions like discharge location and missing tests, with powerful automation tools, reducing last-minute surprises and delays.

Intelligent Escalation System

Optimize leadership intervention through timely alerts on potential delays, ensuring smooth discharge processes and maintaining optimal patient flow.

Coordinated Care Team Communication

Streamline multidisciplinary team communication by integrating with EHR and clinical systems, ensuring timely discharge activities while eliminating silos and improving patient flow management.

Results

10%

 

more discharges per day

10% 

 

decrease in opportunity day

20%

 

reduction in order to discharge time

65%

 

reduction in time to complete ICU transfers

Learn how LLUH transformed staffing

We prioritize employee flexibility and well-being, which is why we have a flexibility-first model. We have a culture that empowers employees who work remotely across the US and offices in Charlotte, NC and Santa Clara, CA for employees who prefer to work from an office.

Related Resources

Case Study

UCHealth Decreased Overall Time to Admit by 16%

Webinar

How Sarasota Memorial Healthcare System Used AI-Enabled Automation to Decrease Discharge Processing Time by 10%

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