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Related Experiment Videos

A poor precedent

M S Tuttle, S J Nelson

    Methods of Information in Medicine
    |September 1, 1996
    PubMed
    Summary
    This summary is machine-generated.

    Maintaining comparable patient descriptions in computer-based patient records (CPRs) requires addressing controlled health-care vocabulary updates. Solving this medical informatics challenge ensures data consistency for sustained CPR usability.

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    Area of Science:

    • Medical Informatics
    • Health Information Systems
    • Controlled Health-Care Vocabularies

    Background:

    • Computer-based patient records (CPRs) require comparable patient descriptions for effective use.
    • Inconsistent vocabulary updates across CPR releases hinder data comparability and system investment justification.
    • The problem of updating controlled health-care vocabularies is central to medical informatics.

    Discussion:

    • Cimino's work on classifying changes in ICD-9-CM (1993-1994) and updating the Medical Entities Dictionary (MED) is analyzed.
    • Current methods rely on empirical analysis and content expert inference ('reverse engineering') to understand vocabulary changes.
    • Inferring the intent behind vocabulary changes from empirical data is a limitation of current approaches.

    Key Insights:

    Related Experiment Videos

    • Directly inferring the intent of vocabulary changes from empirical data is impossible for computer programs.
    • Content experts are currently required to interpret and implement changes in systems like the MED.
    • The reliance on 'reverse engineering' for vocabulary updates is an ad hoc, short-term solution.

    Outlook:

    • A move away from 'reverse engineering' is necessary for robust health information systems.
    • Develop explicit, machine-processable mechanisms for handling changes in controlled health-care vocabularies.
    • Sustained comparability of patient descriptions in CPRs depends on addressing this core informatics challenge.