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MEDIC: a language to process clinical data for elementary statistical purposes

G Fava, M Ferrario, G Zonca

    Computer Programs in Biomedicine
    |June 1, 1980
    PubMed
    Summary
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    A new MEDIC language simplifies clinical data analysis for generating reports. It ensures data integrity by restricting access and offers powerful filtering, calculation, and reporting capabilities, including histograms.

    Area of Science:

    • Computer Science
    • Medical Informatics

    Background:

    • Clinical data management presents challenges in accessing and analyzing stored information.
    • Existing systems may lack user-friendly interfaces for complex data manipulation and report generation.

    Purpose of the Study:

    • To introduce the MEDIC language, a novel tool designed for efficient clinical data handling and report production.
    • To enhance data integrity and user accessibility in clinical data banks.

    Main Methods:

    • Development of the MEDIC language with a focus on data filtering, calculations, and report generation.
    • Implementation of a dictionary for each data bank to define medical item attributes.
    • Ensuring data integrity through read-only access to disk-stored data.

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    Main Results:

    • MEDIC enables users to easily write programs for powerful data analysis and report creation.
    • The language supports conditional data counting and specialized output functions like histograms.
    • Programs are processed by the MEDIC generator for immediate execution with tracing/debugging options.

    Conclusions:

    • MEDIC provides a user-friendly and robust solution for clinical data management and analysis.
    • The language enhances data integrity and facilitates the generation of clinically relevant reports.