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

[Automated anesthesia billing by electronic anesthesia record keeping system].

A Okamura1, H Murayama, N Sato

  • 1Surgical Center, Hokkaido University Hospital, Sapporo.

Masui. the Japanese Journal of Anesthesiology
|September 11, 1999
PubMed
Summary

Manual billing errors caused significant anesthesia fee loss. An automated system integrated with electronic anesthesia record keeping (EARK) successfully prevented these losses, improving billing accuracy and financial containment.

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

Cross-Sectional and Longitudinal Associations of Creatinine-to-Cystatin C Ratio with Sarcopenia Parameters in Older Adults.

The journal of nutrition, health & aging·2023
Same author

Search for a Dark-Matter-Induced Cosmic Axion Background with ADMX.

Physical review letters·2023
Same author

Verification of the seizure liability of compounds based on their in vitro functional activity in cultured rat cortical neurons and co-cultured human iPSC-derived neurons with astrocytes and in vivo extrapolation to cerebrospinal fluid concentration.

Toxicology and applied pharmacology·2023
Same author

Raster plots machine learning to predict the seizure liability of drugs and to identify drugs.

Scientific reports·2022
Same author

Quasiparticle Nodal Plane in the Fulde-Ferrell-Larkin-Ovchinnikov State of FeSe.

Physical review letters·2022
Same author

Principal Component Analysis to Distinguish Seizure Liability of Drugs in Human iPS Cell-Derived Neurons.

Toxicological sciences : an official journal of the Society of Toxicology·2021

Area of Science:

  • Health Informatics
  • Medical Billing
  • Healthcare Management

Context:

  • Manual completion of anesthesia billing sheets led to significant financial losses.
  • Audits revealed substantial anesthesia fee discrepancies over several years.
  • Previous billing methods were prone to human error, impacting revenue.

Purpose:

  • To develop an automated anesthesia billing system to prevent financial losses.
  • To integrate the billing system with an electronic anesthesia record keeping (EARK) system.
  • To ensure accurate anesthesia fee calculation based on the Japanese healthcare insurance system.

Summary:

  • An automated anesthesia billing system was developed, linked with an electronic anesthesia record keeping (EARK) database.
  • The system automatically derives cost parameters from EARK to calculate fees per Japanese healthcare insurance logic.

Related Experiment Videos

  • Implementation freed anesthesiologists and nurses from manual sheet completion, improving accuracy and efficiency.

    • Impact:

    • The automated system significantly reduced billing errors and financial losses.
    • A monthly survey indicated prevention of 2.5 million yen in billing loss.
    • This demonstrates the economic value of EARK systems as a cost containment tool in healthcare.