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Related Experiment Videos

Measuring patient loss.

Roberta N Clarke1

  • 1Boston University Health Care Management Program, 595 Commonwealth Avenue, Boston, MA 02215, USA. rclarke@bu.edu

The Journal of Medical Practice Management : MPM
|March 5, 2002
PubMed
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Quantifying patient loss is crucial for medical practice profitability. This study explores challenges in tracking patient defections and proposes using billing system data as a solution.

Area of Science:

  • Healthcare Management
  • Medical Practice Administration
  • Health Economics

Background:

  • Medical practices often neglect collecting patient loss data, despite its significant impact on profitability.
  • Existing methods for measuring patient defection, such as medical record transfer requests, are inadequate.
  • Challenges in data capture and analysis hinder accurate quantification of patient loss.

Purpose of the Study:

  • To highlight the difficulties medical practices face in tracking patient defections.
  • To propose a viable method for quantifying patient loss using available data.
  • To emphasize the importance of understanding patient retention and defection for financial health.

Main Methods:

  • Analysis of current data collection limitations for patient loss.

Related Experiment Videos

  • Evaluation of billing services as a potential source for patient defection data.
  • Discussion of the flaws and inconsistencies in data from billing services.

    • Main Results:

    • Patient record transfers are unreliable indicators of patient loss.
    • Billing services are the most probable source of patient loss data, but data quality varies.
    • Switching billing services disrupts the continuity of patient retention and defection tracking.

    Conclusions:

    • Accurate tracking of patient loss is essential for medical practice financial stability.
    • Billing systems offer a potential, albeit imperfect, solution for quantifying patient defections.
    • Further development and standardization of data from billing services are needed to reliably measure patient loss.