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 perspective of the resource based relative value scale.

D Gur1, W Straub, W Good

  • 1University of Pittsburgh School of Medicine, Pittsburgh, PA.

Administrative Radiology : AR
|February 8, 1991
PubMed
Summary

This study questions the Hsiao model

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

Evaluation of five methods for the interpolation of bad leads in the solution of the inverse electrocardiography problem.

Physiological measurement·2024
Same author

Effects of Interpolation on the Inverse Problem of Electrocardiography.

Computing in cardiology·2020
Same author

Reduction of Effects of Noise on the Inverse Problem of Electrocardiography with Bayesian Estimation.

Computing in cardiology·2019
Same author

Effects of ECG Signal Processing on the Inverse Problem of Electrocardiography.

Computing in cardiology·2019
Same author

Antibiotic resistance in the southeastern Mediterranean - preliminary results from the ARMed project.

Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin·2017
Same author

Results from the Survey of Antibiotic Resistance (SOAR) 2011-13 in Turkey.

The Journal of antimicrobial chemotherapy·2016

Area of Science:

  • Radiology
  • Health Economics
  • Medical Practice Management

Background:

  • The implementation of reimbursement models like RBRVS (Resource-Based Relative Value Scale) significantly impacts diagnostic radiology practices.
  • Accurate valuation of radiologist work is crucial for fair reimbursement and practice sustainability.

Purpose of the Study:

  • To critically evaluate the assumptions and data utilized in the Hsiao et al. model for RBRVS implementation in diagnostic radiology.
  • To propose improvements for a more accurate and equitable reimbursement system.

Main Methods:

  • Critique of the mathematical model's assumptions regarding time and work valuation.
  • Advocacy for the use of measured data over perceived (surveyed) data, especially for time-related metrics.
  • Consideration of facility-specific examination complexity for model adjustments.

Main Results:

  • The current model's assumptions about time are potentially flawed.
  • Measured data provides a more objective basis for reimbursement than survey data.
  • Facility-specific adjustments are necessary for accurate RBRVS implementation.

Conclusions:

  • Revisions to the Hsiao model are needed to ensure accurate RBRVS implementation in diagnostic radiology.
  • The use of measured time and consideration of examination complexity are vital for a fair reimbursement system.
  • The significant implications of RBRVS necessitate careful consideration and potential adjustments to the model.

Related Experiment Videos