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

Stat testing and DRGs: a strategy for cost containment.

K Sazama

    Pathologist
    |March 11, 1985
    PubMed
    Summary
    This summary is machine-generated.

    This study analyzes the probability of stat testing based on Diagnosis-related Groups (DRGs) to help laboratories reduce costs. It provides a decision-making framework for appropriate stat test utilization.

    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

    Immediate adverse reactions to platelet transfusions: whole blood derived versus apheresis platelets.

    Mymensingh medical journal : MMJ·2013
    Same author

    The ethics of blood management.

    Vox sanguinis·2007
    Same author

    Transfusion errors: scope of the problem, consequences, and solutions.

    Current hematology reports·2003
    Same author

    Pretransfusion compatibility testing for red blood cell administration.

    Current opinion in hematology·2001
    Same author

    Is undertransfusion occurring?

    Transfusion·2001
    Same author

    Practice parameter for the recognition, management, and prevention of adverse consequences of blood transfusion. College of American Pathologists.

    Archives of pathology & laboratory medicine·2000

    Area of Science:

    • Laboratory medicine
    • Healthcare economics

    Background:

    • Laboratory testing costs are a significant concern for healthcare providers.
    • The appropriate utilization of stat testing is crucial for cost containment.
    • Existing guidelines for stat testing may not fully address cost-efficiency.

    Purpose of the Study:

    • To develop a data-driven approach for determining the appropriate use of stat testing.
    • To reduce laboratory costs by optimizing stat testing protocols.
    • To provide a decision-making tool based on Diagnosis-related Group (DRG) categories.

    Main Methods:

    • Analysis of stat testing utilization patterns.
    • Categorization of tests based on Diagnosis-related Groups (DRGs).
    • Probabilistic modeling of stat testing appropriateness.

    Related Experiment Videos

    Main Results:

    • Identification of DRG categories with high probabilities of appropriate stat testing.
    • Quantification of the potential cost savings associated with optimized stat testing.
    • Development of a probability-based framework for stat test ordering.

    Conclusions:

    • Implementing a monitoring system for stat testing based on DRGs can reduce laboratory costs.
    • DRG-based probability analysis aids in decision-making for appropriate stat test utilization.
    • Optimizing stat testing is essential for efficient laboratory resource management.