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.
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.
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.
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.
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.
Improvement in bed turns
Decrease in ED and PACU boarding
Reduction in Core Staff Floating
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.
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.
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.
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.
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.
Take the first step towards unlocking hospital capacity, generating ROI, and increasing patient access.