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

ICD-9-CM code and coding practice changes for case mix management.

W W Young

    Journal (American Medical Record Association)
    |February 9, 1986
    PubMed
    Summary

    High-quality patient data is crucial for healthcare applications, especially for hospital payment systems. Ensuring data accuracy and consistency in patient record collection is now a major focus in the healthcare community.

    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

    Present Status of Pneumococcus Infections.

    Atlanta journal-record of medicine·2022
    Same author

    Malaria.

    Journal of the American Institute of Homeopathy·2010
    Same author

    Treatment of the patient with syphilis.

    Journal of the American Institute of Homeopathy·2010
    Same author

    Sclerosing injection of polycystic kidney following surgical exposure.

    The Journal of urology·2010
    Same author

    A review of the status of homeopathic education in the United States of America.

    Journal of the American Institute of Homeopathy·2010
    Same author

    Treatment of the patient with syphilis.

    The British homoeopathic journal·2010

    Area of Science:

    • Health Informatics
    • Healthcare Management
    • Data Quality Assurance

    Background:

    • Growing interest in the quality of patient data for analysis.
    • Discharge abstract data used in various healthcare applications.
    • Increased focus driven by hospital payment systems.

    Purpose of the Study:

    • To highlight the importance of patient data quality.
    • To emphasize the impact of data quality on hospital payment.
    • To underscore the need for accurate patient data collection.

    Main Methods:

    • Review of existing literature on patient data quality.
    • Analysis of the role of discharge abstract data.
    • Examination of the impact on healthcare applications.

    Main Results:

    • Discharge abstract data significantly impacts hospital payment systems.
    • Healthcare community now prioritizes data consistency and accuracy.
    • Data quality is essential for reliable healthcare analytics.

    Conclusions:

    • The quality of patient data is paramount for effective healthcare operations.
    • Accurate and consistent data collection is vital for financial reimbursement.
    • Continued attention to data integrity is necessary for the healthcare sector.

    Related Experiment Videos