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Dynamic Nurse Coverage Optimization

Provide your staffing office and nursing leaders an all in one platform to proactively address coverage needs, optimize shift allocation across units, and balance patient assignments for improved care continuity and better workload distribution.

How OHSU Alleviated Staffing Challenges in the OR

Challenge

Staffing in healthcare organizations is a complex and multifaceted challenge. Frontline leaders are tasked with juggling, balancing, and coordinating numerous aspects of staffing, resulting in significant pains and burdens. These pains are typically managed through manual processes, such as phone calls, spreadsheets, and extensive manual work. At any given time, organizations face skill mismatches, shortages, call-offs, ratio issues, and workload imbalances across different units and environments. These diverse issues happening simultaneously create the need for constant manual intervention by nursing teams.

Transform is the industry’s leading hospital operations summit.

Solution

By leveraging iQueue for Inpatient Flow’s predictive analytics and AI automation, healthcare organizations can transition from reactive manual processes to a proactive, strategic staffing model. This shift allows frontline leaders to effectively address the complex inpatient staffing challenges they face daily. The resulting data-driven approach enables:

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Future Demand Forecasting

Forecast staffing needs weeks in advance based on predicted patient workload, accounting for factors like discharges, admissions, and workload fluctuations within shifts.

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Staffing Insights and Optimization

Optimize staff alignment with anticipated workload by mining data sources such as EMR data for factors like off-service placements, desired ratios and 1:1 sitter needs, enabling higher volumes and staff reallocation.

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Daily Staff Assignments

Streamline daily staff assignments through automated communication, equitable workload distribution, and considering continuity of care.

 

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Equitable Staff Deployment

Leverage AI to optimize multi-regional staff assignments, automatically enforcing policies and union rules while considering employee preferences, skills, and location to inform fair floating and cancellation decisions.

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Fully Integrated Solution

Eliminate silos and manual tracking by integrating with EHR, workforce management systems, and other data sources to inform optimal staffing levels.

 

Results

46%

 

less time spent coordinating with staff to fill gaps

250+ 

 

days of usable capacity created with improved staff allocation

49%

 

less time spent to determine the needs for the upcoming shift

63%

 

reduction in patient moves within same level of care

Learn how LLUH transformed staffing

We prioritize employee flexibility and well-being, which is why we have a flexibility-first model. We have a culture that empowers employees who work remotely across the US and offices in Charlotte, NC and Santa Clara, CA for employees who prefer to work from an office.

Related Resources

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Case Study

Health First Eliminated 517 Avoidable Days/Month and Reduced Core Floating Staff Across the System by 44%

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Webinar

Optimize Nurse Coverage: An Innovative Approach to Overcoming Staffing Challenges Leveraging AI and Automation to Enhance Collaboration and Outcomes

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Chapter 1: The Looming Challenge

If you work in the healthcare industry, or even if you’re just an interested observer, you don’t need a book to tell you that the financial pressure is on as never before. A perfect storm of circumstances is swirling together, one that will make survivability, not to mention profitability, a greater challenge for healthcare companies than we’ve seen in the modern era.

As with banks, retailers, and airlines, which had to rapidly enhance their brick-and-mortar footprints with robust online business models—it is the early movers eager to gain new efficiencies that will thrive and gain market share. The slow-to-move and the inefficient will end up being consolidated into larger health systems seeking to expand their geographical footprints.

The pressures on healthcare

Let’s look at just a few of the looming challenges healthcare must meet head-on.

An aging population

By the year 2030, the number of adults sixty-five years of age or older will exceed the number of children eighteen years or younger in the United States. We are living longer than our parents did. Positive news for sure, but problematic for several reasons.

The older we get, the more medical help we need. Older people have more chronic diseases. By 2025, nearly 50 percent of the population will suffer from one or more chronic diseases that will require ongoing medical intervention. This combination of an aging population and an increase in chronic diseases will create a ballooning demand for healthcare services.