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Accurate charge capture and cost allocation: cost justification for bedside computing

R Grewal1, R L Reed

  • 1Department of Medical Informatics, Duke University Medical Center.

Proceedings. Symposium on Computer Applications in Medical Care
|January 1, 1993
PubMed
Summary
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Accurate charge capture using bedside clinical computing can justify costs by recouping charges. Comparing charted data to billed charges revealed significant discrepancies, highlighting potential revenue recovery in intensive care units.

Area of Science:

  • Health Informatics
  • Clinical Economics
  • Healthcare Management

Background:

  • Accurate charge capture is crucial for financial viability in healthcare settings.
  • Bedside clinical computing offers potential for improved data management and billing.
  • Cost allocation in inpatient environments presents challenges for accurate financial assessment.

Purpose of the Study:

  • To demonstrate the cost justification of bedside clinical computing through enhanced charge capture.
  • To quantify the difference between predicted charges from clinical data and actual billed charges.
  • To explore the feasibility of using bedside computing for appropriate cost allocation.

Main Methods:

  • A twelve-month period of professional charges was analyzed for a 16-bed surgical intensive care unit.

Related Experiment Videos

  • Charges were computed from charted data within a bedside clinical database.
  • These computed charges were compared against the professional charges actually billed by the unit.

    • Main Results:

    • A substantial difference was identified between the predicted charges derived from the clinical database and the charges that were actually billed.
    • This discrepancy suggests significant potential for revenue recovery through improved charge capture.
    • The study indicates that bedside computing can facilitate accurate cost allocation.

    Conclusions:

    • Bedside clinical computing provides a viable method for cost justification by enabling accurate charge capture and recouping potential revenue.
    • Accurate charge capture through bedside systems can significantly reduce financial discrepancies in intensive care units.
    • Implementing bedside computing systems can streamline cost allocation processes within the inpatient setting.