Managing inpatient capacity is one of the most critical challenges for hospitals. It requires a complex balancing act of coordinating bed availability, patient throughput, and staffing needs to ensure that the right resources are available to meet patient demand. Too often, short-handed staff rely on manual data, intuition, and past experience to make critical decisions, leading to bottlenecks, long wait times, extended lengths of stay, and patients leaving without being treated. iQueue for Inpatient Flow uses predictive analytics and AI to dynamically manage capacity and align healthcare workforce resources to meet patient demand. It continuously monitors the operational health of the health system, providing hospital leaders and frontline staff with real-time insights and recommendations to deliver more effective patient care.

Features

• Dynamic Capacity Management: Provides actionable, real-time insights to predict patient surges, pinpoint barriers, and prioritize discharges.
• Single Snapshot View: Displays available beds, discharge status, and staffing needs in one interface.
• Discharge Orchestration: Helps streamline daily discharge processes to free up capacity.
• Clinical Staffing Optimization: Aligns staffing levels with patient demand to reduce inefficiencies.
• Predictive & Prescriptive AI: Enables proactive decision-making based on real-time data and forecasts.

Benefits

• 2% Increase in Patient Admissions: More efficient flow allows hospitals to admit more patients.
• 5% Increase in Daily Discharges: Faster discharge processes improve bed turnover.
• 12-Hour Decrease in Length of Stay: Reduces inpatient time, improving patient satisfaction and resource availability.
• 25% Decrease in Transfer Declines: Enhances hospital capacity to accept patient transfers.
• 3–4x Return on Investment: Delivers measurable financial impact per bed.
• Improved Patient Care: Enables timely treatment and reduces delays.
• Enhanced Staff Satisfaction: Reduces stress and improves workflow for clinical teams.