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Related Experiment Videos

Innovative strategies for self-pay segmentation.

Adam Boehler1, John Hansel

  • 1MedeFinance, Inc, Emeryville, CA, USA. aboehler@medefinance.com

Healthcare Financial Management : Journal of the Healthcare Financial Management Association
|January 26, 2006
PubMed
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Healthcare financial managers can improve self-pay account collections by segmenting patients based on financial status, potential public assistance eligibility, and fraud risk. This strategy helps optimize resource allocation and reduce accounts receivable days.

Area of Science:

  • Healthcare Financial Management
  • Health Services Research
  • Hospital Administration

Background:

  • Effective management of self-pay accounts is crucial for hospital revenue cycle optimization.
  • Identifying patients with a low likelihood of payment is essential for resource allocation.

Purpose of the Study:

  • To introduce a risk segmentation framework for self-pay accounts.
  • To guide healthcare financial managers in resource allocation for collections.
  • To enhance self-pay collections and reduce accounts receivable (A/R) days.

Main Methods:

  • Segmenting self-pay accounts based on patient demographics.
  • Assessing patients' estimated financial condition.
  • Evaluating potential eligibility for charity care or public assistance.

Related Experiment Videos

  • Identifying indicators of potential patient fraud.

    • Main Results:

    • Risk segmentation allows for targeted collection efforts.
    • Improved assessment of patient financial capacity and assistance eligibility.
    • Potential for increased self-pay collections.
    • Reduction in overall accounts receivable (A/R) days.

    Conclusions:

    • Risk segmentation is an effective strategy for optimizing self-pay account collections.
    • Considering financial status, assistance eligibility, and fraud risk improves collection efficiency.
    • This approach supports better financial management in healthcare settings.