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Related Experiment Videos

Census variation staffing

D A Douglas, J Mayewski

    Nursing Management
    |February 1, 1996
    PubMed
    Summary
    This summary is machine-generated.

    The Census Variation Staffing (CVS) model optimizes nursing staff allocation using historical data and nursing hours per patient day. This approach has driven significant hospital profitability, yielding average annual savings of $485,100.

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    Area of Science:

    • Healthcare Management
    • Nursing Administration
    • Hospital Operations

    Background:

    • The implementation of a Census Variation Staffing (CVS) model has been in place for four years across all hospital nursing units.
    • Consistent hospital profitability has been observed over the past four years.

    Purpose of the Study:

    • To evaluate the impact of the Census Variation Staffing (CVS) model on hospital financial performance.
    • To demonstrate the effectiveness of data-driven staffing in achieving consistent profitability.

    Main Methods:

    • Utilizing historical data and nursing hours per patient day (NHPPD) to forecast staffing requirements.
    • Implementing a daily, shift-by-shift adjustment of nursing staff based on predicted patient census.
    • Analyzing financial records to quantify savings attributed to the CVS model.

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    Main Results:

    • The CVS model has been successfully applied to all nursing units for four years.
    • The CVS model is identified as the primary driver of the hospital's sustained profitability.
    • Average annual savings attributed to the CVS model amount to $485,100.

    Conclusions:

    • The Census Variation Staffing model is a highly effective strategy for optimizing nursing resource allocation.
    • The CVS model significantly contributes to hospital financial health and consistent profitability.
    • Data-driven staffing models like CVS offer substantial cost-saving opportunities in healthcare settings.