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

A tree-structure model for analyzing laboratory test costs.

L Burnett1

  • 1Department of Clinical Chemistry, Westmead Hospital, NSW, Australia.

Pathology
|April 1, 1991
PubMed
Summary
This summary is machine-generated.

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

Embryogenesis and plant regeneration from isolated microspores of Brassica rapa L. ssp. Oleifera.

Plant cell reports·2013
Same author

Are serum cortisol levels a reliable indicator of wellbeing in the tammar wallaby, Macropus eugenii?

Comparative biochemistry and physiology. Part A, Molecular & integrative physiology·2004
Same author

Carrier screening for Canavan disease in Australia.

Journal of inherited metabolic disease·2004
Same author

A genetic screening programme for Tay-Sachs disease and cystic fibrosis for Australian Jewish high school students.

Journal of medical genetics·2003
Same author

The frequency of founder mutations in the BRCA1, BRCA2, and APC genes in Australian Ashkenazi Jews: implications for the generality of U.S. population data.

Cancer·2001
Same author

Measurement of total protein is not a useful inclusion in liver function test profiles.

Clinical chemistry·2000
Same journal

Impact of the 2025 Endocrine Society clinical practice guideline on the diagnosis and management of primary aldosteronism for the clinical laboratory.

Pathology·2026
Same journal

Cribriform intraductal carcinoma of the prostate may have a greater prognostic impact even than Gleason grade 5 conventional prostatic adenocarcinoma.

Pathology·2026
Same journal

Bordetella pertussis: emerging epidemiology, diagnosis and management.

Pathology·2026
Same journal

Development and validation of a real-time polymerase chain reaction for the detection of Haycocknema perplexum.

Pathology·2026
Same journal

Recent advances in the understanding of TP53 in haematological malignancies.

Pathology·2026
Same journal

Concurrent renal amyloid light chain amyloidosis, light chain crystalline podocytopathy and light chain proximal tubulopathy: a case report.

Pathology·2026
See all related articles

This study introduces a new costing model for clinical laboratory tests, breaking down expenses into organizational overhead, per-request costs, and per-test analytical costs. This method accurately calculates true test costs and optimizes laboratory efficiency.

Area of Science:

  • Clinical laboratory management
  • Health economics
  • Cost accounting

Background:

  • Accurate costing of clinical laboratory tests is crucial for financial management and resource allocation.
  • Existing methods may not fully capture the complexity of laboratory expenses, leading to potential under or overestimation of true costs.

Purpose of the Study:

  • To develop and describe a novel method for the comprehensive costing of clinical laboratory tests.
  • To enable the accurate determination of true costs per test, considering all contributing factors.
  • To facilitate the optimization of laboratory test frequencies and workloads.

Main Methods:

  • A three-component costing model was developed: organizational overhead cost, cost per episode, and cost per test.
  • A tree-like structural model was employed to distribute 'cost per test' to individual tests.

Related Experiment Videos

  • The model was implemented using a computer spreadsheet for practical application.

    • Main Results:

    • The model successfully apportions total laboratory costs into defined components.
    • True 'cost per test' can be accurately calculated by distributing analytical costs.
    • The model allows for the calculation of incremental and marginal costs for laboratory tests.

    Conclusions:

    • The described costing method provides a comprehensive approach to determining the true total costs of laboratory testing.
    • Implementation on a spreadsheet facilitates practical application in laboratory settings.
    • The model supports informed decision-making for optimizing laboratory operations and minimizing analytical costs.