Patient Flow 2019-09-26T17:34:37+00:00
Download your copy nowLearn how to better manage patient flow using analytics, machine learning, and simulation technology.
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Download your copy nowLearn how predictive analytics can align the hospital workforce to meet true patient demand.
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Download the eBook nowLearn how advanced data can help forecast hospital surges, days in advance.
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Reduce LWBS Rates
Reduce
ED Walkouts
Optimize Level of Service
Optimize
Level of Service
Manage Census Surges
Manage
Capacity Surges
Reduce ED Boarding
Reduce
ED Boarding
Reduce Labor Costs
Reduce
Labor Costs

Planning for patient demand is a critical, ongoing, daily challenge for hospitals. Without advanced warning of Emergency Department (ED) and inpatient surges and declines, plans go awry, affecting everyone in the health system. Bottlenecks choke patient flow, backing up the ED and PACU, and even prompting diversions to other hospitals. Units and services too often find they are understaffed and must scramble to increase staff overtime hours or bring in expensive last-minute agency staff. Hospitals lose revenue when patients can’t get appointments or leave the ED before being seen and, conversely, waste time and money when they overstaff or keep extra units open when patient demand is low.

Hospital IQ applies artificial intelligence and machine learning to EMR and other IT system data to help hospitals and health systems diagnose and address their patient census problems. By accurately predicting ED visits, census, surgical admissions, staffing and capacity needs, anticipated bottlenecks and specific resource gaps – in advance, Hospital IQ’s Patient Flow solution helps ED, surgical and inpatient leadership make better decisions and implement department-specific action plans necessary to avert these to increase patient throughput and improve performance across the entire health system.

Capacity Management: Put the Right Patient in the Right Bed at the Right Time.
Hospital IQ transforms the process for everyone involved in managing capacity by predicting upcoming ED volume, surgical admissions, inpatient census – and illustrating how these interact and impact each other. It also recommends specific mitigation strategies, pinpointing exactly when and where resources will be required, in order to help managers build, identify and utilize the capacity to sustain high patient volumes and simultaneously reduce boarding and wait times at reduced costs.
Capacity Management: Put the Right Patient in the Right Bed at the Right Time.
Workforce Management: Decrease Labor Costs and Improve Staff Satisfaction
Hospital IQ enables you to implement ED and inpatient staffing strategies to better meet forecasted patient demand. Its recommendations help you make better workforce decisions for both clinical and non-clinical teams to improve quality of care, enhance staff satisfaction, reduce turnover, and decrease labor costs for the entire health system.
Workforce Management: Decrease Labor Costs and Improve Staff Satisfaction
Performance Management: Improve Patient Flow performance in ED & Inpatient Units
Hospital IQ generates automated standardized and customable reports and scorecards for key stakeholders that promote accountability, transparency, and continuous improvement throughout the healthcare system.
Performance Management: Improve Patient Flow performance in ED & Impatient Units

Operational efficiency that delivers the best patient care for the most people.

 


 

We were seeking data-driven solutions to identify, prioritize and address flow inefficiencies across multiple campuses on an ongoing basis. We were impressed by how quickly Hospital IQ incorporated our data, provided insights into our operations and predicted the impact of changes in capacity, schedules and census. Hospital IQ will allow us to stay competitive in our community by delivering a higher quality of care at a lower cost through smarter, faster operational decisions.

– Kathy Goetz, VP Perioperative Services, Mercy Medical Center Des Moines

Helping hospitals and health systems worldwide


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