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Related Experiment Videos

Managing patient receivables: a technical note.

R W Broyles

    Journal of Medical Systems
    |August 1, 1984
    PubMed
    Summary
    This summary is machine-generated.

    This study uses a Markov process to predict hospital patient receivables, estimating cash flow timing, amounts, and potential losses from bad debts and charity care.

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    Area of Science:

    • Healthcare Management
    • Financial Modeling
    • Operations Research

    Background:

    • Effective management of patient receivables is crucial for hospital financial health.
    • Accurate forecasting of cash flows and potential losses is essential for operational planning.

    Purpose of the Study:

    • To apply a Markov process model for estimating patient receivables.
    • To assess the model's utility in daily hospital financial management.
    • To quantify potential losses from bad debts, discounts, and charity care.

    Main Methods:

    • Utilized a Markov process to model the timing and magnitude of cash receipts.
    • Analyzed factors contributing to receivables loss, including bad debts, courtesy discounts, and charity care.
    • Evaluated the practical application of the developed model in financial management.

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    Main Results:

    • The Markov process model provides estimations for cash receipt timing and magnitude.
    • The model quantifies financial losses associated with patient receivables.
    • The model demonstrates usefulness in day-to-day management of hospital finances.

    Conclusions:

    • Markov process modeling offers a robust approach to managing patient receivables.
    • Accurate estimation of cash flows and losses improves financial planning and operational efficiency.
    • The model supports informed decision-making in hospital financial administration.