Empower your command center and hospital leadership with AI-driven automation that incorporates customizable capacity protocols, proactively identifies and responds to constraints, and provides real-time insights with automated status updates, enabling data-driven decisions that improve patient care, throughput, and resource utilization across your healthcare system.
How OHSU Alleviated Staffing Challenges in the OR
Capacity management presents a complex challenge for hospital leaders and transfer center staff. They must balance patient demand, bed availability, and staffing levels across multiple facilities and service lines, often disrupted by sudden surges and resource shifts. Limited visibility into real-time, system-wide capacity and reliance on complex, manually activated protocols lead to inefficiencies. Delays in executing capacity-related decisions, such as initiating diversions or opening additional beds, and inconsistent application of protocols across facilities further complicate matters. These issues limit access to care and result in suboptimal resource utilization and increased operational strain.
By implementing iQueue for Inpatient Flow, healthcare organizations can move from manual processes to an automated, intelligent system for capacity management. This solution, powered by predictive analytics and AI, effectively addresses the complex challenges of optimizing capacity across the entire system. The data-driven approach enables:
Real-time Capacity Monitoring
Continuously analyze and visualize system-wide capacity, including patient demand, bed availability, staff levels, and inflow/outflow metrics across multiple facilities and service lines.
Automated Protocol Activation
Utilize customizable automation settings to proactively identify and respond to capacity constraints, ensuring timely and consistent application of capacity protocols across the health system.
Proactive System-Wide Capacity Management
Forecast potential capacity issues in advance, enabling proactive resource allocation and preventing bottlenecks in patient care.
Intelligent Patient Placement
Equip transfer center staff with data-driven tools while providing hospital leaders real-time dashboard visibility, aligning decision-making to optimize patient progression across care levels and enhance system-wide efficiency.
Cross-facility Resource Balancing
Optimize resource utilization across multiple facilities by providing a holistic view of system-wide capacity, enabling better load balancing and patient distribution.
25%
increase in inbound patient transfers
0 hrs
of hospital-driven diversion
65%
reduction in time to complete ICU transfers
30%
reduction in transfer declines
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.
Take the first step towards unlocking capacity, generating ROI, and increasing patient access.
