iQueue for Inpatient Flow: Make Every Inpatient Bed Count

Stay ahead with a connected, insight-driven plan the whole system can execute, every day.​ Anticipate capacity constraints, surface barriers, and coordinate action to improve throughput, access, and system-wide performance.

100+

 

Hospitals

30+

 

Health Systems

35k+

 

Inpatient Beds

$10k

 

Bed/Year in ROI

Maximize daily capacity

Health systems have more operational information than ever. The challenge is turning that information into coordinated action.

iQueue helps teams understand what matters now and coordinate what needs to happen next, connecting decisions across capacity, admissions, care progression, staffing, and discharge to improve patient flow across the system.

A medical professional wearing scrubs and a mask stands next to a patient lying in a hospital bed, both facing each other in a hospital room enhanced by iQueue for Inpatient Flow.

Support end-to-end patient flow

iQueue for Inpatient Flow anticipates capacity constraints, surfaces patient flow barriers, and orchestrates coordinated action across leaders and frontline teams to improve throughput, access, and system-wide performance.

Manage capacity before constraints escalate:

Bring updates, escalations, and operational concerns together before daily bed huddles, automatically capture key decisions and actions, and track follow-through so teams can resolve emerging constraints and activate capacity protocols earlier.

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Give the ED, PACU, transfer center, and bed management a shared view of incoming demand and placement progress, helping teams prioritize patients, coordinate appropriate admission options (e.g., hospital at home), and reduce boarding and downstream delays.

A digital interface displays a list of alternate placement candidates with status indicators and a highlighted pop-up showing details for “iQueue.”

Bring care-progression signals and patient context into a unified view, surface patients and barriers requiring intervention, and focus multidisciplinary rounds on the actions needed to move patients forward.

Dashboard shows patient discharge stats: Likely DC Today 49, Boarding >2 Hours 5, Early DC Opportunity 6, Needs EDD Review 9. Table lists EDDs and predicted discharge dates, linked to EHR.

Use shift-level census and workload forecasts to identify staffing gaps or excess capacity, guide staff-allocation and incentive-pay decisions, and proactively adjust schedules to maintain safe coverage while reducing reliance on premium labor.

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Use multidisciplinary rounds to identify likely discharges and uncover clinical, social, and logistical barriers earlier, then coordinate follow-up across care management, ancillary teams, and discharge-lounge workflows to make beds available sooner.

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Dashboard powered by iQueue for Inpatient Flow shows inpatient bottlenecks, a bar graph of forecasted ED arrivals, current boarders by category, and active discharge orders—mostly in blue with some alerts highlighted in red.

Measurable results

6%

 

Increase in patient admissions

35%

 

Reduction in ED boarding

12hr

 

Decrease in length of stay

40%

 

Reduction in patients leaving w/o being seen

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.

Patti Canitano
Division Director Patient Throughput, HealthFirst

It is such a powerful capability since it connects the dots between the data, the insight, and sophisticated algorithms to provide actionable guidance to the front line.

Steve Hess
Chief Information Officer, UCHealth

LeanTaaS has provided us with the tools and strategies to create daily patient flow efficiencies, resulting in measurable and sustainable improvements. As a result, we have been able to streamline discharges and create capacity to care for more patients.

Jessica Connell
MSN, RN, ACNO, Hendrick Brownwood

Our average daily census is now in the mid 800s and we have not gone on diversion, refused transfers or admission, or canceled a surgery or procedure. LeanTaaS’ tools enable us to see where the potential roadblocks are in advance and act.

Director of Logistics
Flow and Observation, Leading Florida Health System

The real-time transparency into daily staffing needs and resources that LeanTaaS provides has enabled us to become more nimble. We now send staff to where patients are and move patients less to ensure the best care experience for each patient.

Director of Nursing
Leading Indianapolis Health System

iQueue for Inpatient Flow FAQs

How does hospital capacity management software align nurse staffing with patient demand?

iQueue combines shift-level census and workload forecasts to identify potential staffing shortages or excess capacity. Nursing and staffing leaders can use those insights to guide allocation, float-pool, and incentive-pay decisions while maintaining safe coverage.

iQueue brings patient context, care-progression signals, likely discharge dates, discharge disposition, and potential missing tests into a unified workflow. Multidisciplinary teams can use that view to focus rounds on the patients and actions most likely to keep discharge plans on track.

iQueue gives the ED, PACU, transfer center, bed management, and inpatient teams a shared view of incoming demand, placement progress, and likely discharges. That visibility helps teams prioritize placements, activate capacity protocols earlier, and reduce downstream delays that contribute to ED boarding.

iQueue analyzes historical trends, current census, expected admissions and discharges, patient acuity, and relevant external factors to forecast demand. Teams can use those forecasts to identify likely constraints earlier and take coordinated action before they become bottlenecks.

iQueue uses relevant EHR data, including census, length of stay, admission and discharge activity, and patient-acuity signals. Where available, it can also incorporate staffing, scheduling, bed-management, and other operational data to create a more complete view of demand and capacity.

No. iQueue uses automated data flows from existing systems, so frontline teams can work from current operational information without adding a separate manual-entry process.

Epic is the system of record; iQueue adds an operational intelligence layer that turns EHR and other operational data into predictive insights and prioritized actions. It helps teams anticipate demand, coordinate patient placement, address discharge barriers, and manage capacity across the hospital.

Ready to get started?

Take the first step towards unlocking capacity, generating ROI, and increasing patient access.

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