iQueue for Inpatient Flow
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
28k
Inpatient Beds
$10k
Bed/Year in ROI
Inpatient capacity challenges
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.
How iQueue for Inpatient Flow helps
Dynamically manage capacity
Give your care team actionable, real-time insights so they can predict patient surges, pinpoint barriers, and prioritize discharges. This proactive approach, plus a single snapshot view of available beds, discharge, and healthcare staffing needs, empowers teams to take immediate action resulting in improved patient care, throughput, and resource utilization.
Orchestrate daily discharges
Mitigate potential discharge barriers before a patient’s discharge date by receiving accurate, patient specific predictions using predictive AI (e.g. LOS, missing tests, misclassified patients, post-acute needs). Automatic alerts are communicated daily across care teams, enabling cross-functional collaboration to achieve discharge goals and free up capacity for new admissions.
Streamline clinical staffing
Create proactive, collaborative, and standardized staffing practices across the organization. iQueue provides operational intelligence to identify future system-wide needs and tools to automate staffing protocols. Enable nursing leaders and the staffing office to make earlier, data-driven decisions that improve the allocation of staff and maximize staffed capacity each day.
The results
- 2% Increase in patient admissions
- 5% Increase in daily discharges
- 12hr Decrease in length of stay
- 25% Decrease in transfer declines
- 3-4x Return on investment