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

Problem-specific coding systems.

J H Renner, E A Bauman

    The Journal of Family Practice
    |August 1, 1975
    PubMed
    Summary
    This summary is machine-generated.

    Standardized medical coding systems are essential for unlocking the value of health care data. Careful design of these coding schemes ensures accurate analysis and improved healthcare delivery.

    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

    Should the FDA regulate alternative medicines?

    Hospitals & health networks·1999
    Same author

    Alternative medicine--is it a new payment system or a weird remedy, or just another way to solve a medical problem?

    Wisconsin medical journal·1997
    Same author

    Health fraud and the elderly.

    Kentucky hospitals magazine·1991
    Same author

    The awareness of osteoporosis among health professionals, consumers, and journalists.

    Public health reports (Washington, D.C. : 1974)·1989
    Same author

    Science or scam?

    The New England journal of medicine·1986
    Same author

    'Catch-22s' for family physician educators.

    JAMA·1981
    Same journal

    Does taking BP medicine at night (vs morning) result in fewer cardiovascular events?

    The Journal of family practice·2023
    Same journal

    Preventing RSV in children and adults: A vaccine update.

    The Journal of family practice·2023
    Same journal

    Essential oils: How safe? How effective?

    The Journal of family practice·2023
    Same journal

    51-year-old woman • History of Graves disease • General fatigue, palpitations, and hand tremors • Dx?

    The Journal of family practice·2023
    Same journal

    Renewing the dream.

    The Journal of family practice·2023
    Same journal

    55-year-old woman • Myalgias and progressive symmetrical proximal weakness • History of unilateral renal agenesis, type 2 diabetes, and hyperlipidemia • Dx?

    The Journal of family practice·2023
    See all related articles

    Area of Science:

    • Health Informatics
    • Medical Record Analysis
    • Healthcare Data Management

    Background:

    • Medical records contain valuable data for healthcare delivery.
    • Effective analysis of this data requires carefully designed tools and methods.
    • Coding is a crucial step in transforming medical record data into actionable information.

    Purpose of the Study:

    • To present six design criteria for a standard, comprehensive, and coherent coding system.
    • To facilitate the analysis of medical and administrative record data.
    • To maximize the potential value of health care data.

    Main Methods:

    • Defining six key criteria for coding scheme design.
    • Focusing on compatibility, specificity, hierarchy, economy, and adaptability.

    Related Experiment Videos

  • Developing a framework for standard nomenclatures, classifications, and taxonomies.
  • Main Results:

    • Established six design goals for medical coding systems.
    • Highlighted the importance of compatibility with existing procedures.
    • Emphasized specificity, hierarchical structure, and economic efficiency.

    Conclusions:

    • A well-designed, standard coding system is vital for realizing the potential of medical record data.
    • The proposed criteria provide a framework for developing robust coding schemes.
    • Adaptability and coherence are key to long-term utility in healthcare data analysis.