Managing inpatient capacity is one of the most critical challenges for hospitals. Traditional playbooks and protocols to improve patient flow and eliminate last-minute decision making are reactive, temporary, and short-sighted. iQueue for Inpatient Flow uses predictive analytics and AI to dynamically manage capacity and align your healthcare workforce to meet patient demand.
100
Hospitals
30
Health Systems
26k
Inpatient Beds
$10k
Bed/Year in ROI
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 accommodate patient demand. But too often, short-handed staff are forced to rely on manual data, intuition, and past experience in healthcare to make critical capacity decisions.
Without the ability to proactively manage capacity and staffing, bottlenecks occur that impact patient flow — prompting high wait times, long lengths of stay, diversions, or patients leaving without being treated. The result? Inadequate patient care, reduced staff satisfaction, and lost revenue for the hospital.
Successful inpatient flow management requires prescriptive and predictive AI. iQueue for Inpatient Flow continuously monitors the operational health of your health system, providing hospital leaders and frontline staff with the real-time insights and recommendations to deliver more effective patient care.
6+
New patients/bed/year
20%
Improvement in bed turns
35%+
Decrease in ED and PACU boarding
44%
Reduction in Core Staff Floating
Take the first step towards unlocking hospital capacity, generating ROI, and increasing patient access.
As the healthcare industry continues to evolve, data transparency & proactive data-driven decision-making needs to be at the forefront. LeanTaaS provides the advanced digital solutions that are an integral part of the experience of those we serve.