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A mixed-integer goal programming model for nursing service budgeting.

V M Trivedi

    Operations Research
    |August 9, 1981
    PubMed
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    This study introduces a practical mixed-integer goal programming model for hospital nursing expense budgeting. The model balances cost containment with quality care by optimizing nurse staffing, considering various labor policies and union constraints.

    Area of Science:

    • Healthcare Management
    • Operations Research
    • Nursing Administration

    Background:

    • Hospital nursing departments face complex budgeting challenges.
    • Balancing cost containment with quality patient care is crucial.
    • Existing budgeting models may not fully capture nursing-specific operational factors.

    Purpose of the Study:

    • To develop a mixed-integer goal programming model for hospital nursing expense budgeting.
    • To integrate cost containment and quality nursing care objectives.
    • To account for diverse staffing options and labor policies.

    Main Methods:

    • Formulated a mixed-integer goal programming model.
    • Incorporated objectives for cost containment and adequate nursing hours.

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  • Considered trade-offs between full-time, part-time, and overtime nurses (weekdays/weekends).
  • Integrated hospital policies (vacation, sick leave, holiday, seniority) and union constraints.

    • Main Results:

    • The developed model is practical for hospital nursing department budgeting.
    • Demonstrated the model's ability to handle complex objective trade-offs.
    • Successfully integrated various operational and policy constraints.

    Conclusions:

    • Mixed-integer goal programming offers an effective approach to nursing budget optimization.
    • The model provides a viable tool for enhancing financial planning in nursing departments.
    • This methodology supports data-driven decision-making for resource allocation in healthcare.