Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Diagnosis related groups: the effect of input error

J B Westphalen1

  • 1Hunter Area Health Services, New Lambton Heights, NSW, Australia.

Australian Clinical Review
|January 1, 1993
PubMed
Summary

Coding errors in Diagnosis Related Groups (DRG) can significantly impact hospital funding. This Australian pilot study found substantial DRG and Major Diagnostic Category (MDC) allocation errors, potentially causing millions in funding shortfalls.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

[Epidemiology of sporotrichosis in the central region of Rio Grande do Sul].

Revista da Sociedade Brasileira de Medicina Tropical·2000
Same author

A ten-year survey of Tinea pedis in the central region of the Rio Grande do Sul, Brazil.

Revista do Instituto de Medicina Tropical de Sao Paulo·1999
Same author

Medical audit of hysterectomy in the Hunter Area of New South Wales.

Australian clinical review·1992
Same author

Early intervention in potential child abuse.

Australian health review : a publication of the Australian Hospital Association·1982
Same author

Local area organisation: a practical solution to the problem of fragmented health services.

Australian health review : a publication of the Australian Hospital Association·1980

Area of Science:

  • Health Services Research
  • Medical Coding Accuracy
  • Hospital Funding Models

Background:

  • Previous American studies indicated high Diagnosis Related Groups (DRG) coding error rates.
  • Limited Australian data existed on the extent and impact of coding errors in hospital separations.
  • The impending implementation of casemix funding in Australia heightened the significance of accurate coding.

Purpose of the Study:

  • To assess the error rates in Diagnosis Related Groups (DRG) coding and Major Diagnostic Category (MDC) allocation in Australian hospitals.
  • To evaluate the financial implications of these coding errors on hospital inpatient funding under a casemix system.
  • To inform the need for educational interventions and further research regarding coding accuracy.

Main Methods:

  • A pilot study was conducted across three hospitals in the Hunter Area Health Service, NSW (teaching, district general, and rural GP).
  • Approximately 150 patient records were sampled from each hospital.
  • A committee reviewed medical charts to assess coding, DRG, and MDC error rates.

Main Results:

  • DRG allocation error rates ranged from 8.1% to 9.6%.
  • Major Diagnostic Category (MDC) allocation error rates were between 3.4% and 5.2%.
  • One hospital faced a potential funding shortfall of nearly $2 million (2.6% of its budget) due to coding errors.

Conclusions:

  • The identified coding errors have significant implications for hospital inpatient funding with the introduction of casemix systems in Australia.
  • Even after error reduction efforts, substantial inaccuracies persist, suggesting a need for major educational initiatives.
  • Further in-depth research is recommended to fully understand and address the widespread impact of coding errors on healthcare funding.

Related Experiment Videos