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Related Experiment Videos

A "data engine" using SAS and INQUIRE.

R F Rose

    Journal of Medical Systems
    |June 1, 1983
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces a novel data engine for clinical settings, integrating on-line accessibility with efficient batch processing. This approach optimizes data management for improved accessibility and cost-effectiveness in healthcare systems.

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    Area of Science:

    • Health Informatics
    • Database Management Systems
    • Clinical Data Management

    Background:

    • Traditional clinical data management often involves redundant data entry and inefficient processing.
    • Integrating on-line accessibility with off-line processing offers potential for improved data handling.

    Purpose of the Study:

    • To describe a novel data base management structure for clinical settings.
    • To combine the on-line features of INQUIRE with the off-line efficiency of SAS.
    • To introduce a "data engine" for optimized clinical data management.

    Main Methods:

    • Consolidating clinic information into single-entry source documents to minimize data redundancy.
    • Allocating real-time processing for immediately accessible data elements.

    Related Experiment Videos

  • Processing and storing other data off-line, catalogued in an on-line INDEX.
  • Developing a "data engine" software product.

    • Main Results:

    • The "data engine" achieves low-cost efficiency through batch processing.
    • It allows for scalable growth to full on-line services.
    • The system is designed to function as a network control node.

    Conclusions:

    • The described data management structure offers an efficient and scalable solution for clinical data.
    • The "data engine" effectively balances on-line accessibility with off-line processing efficiency.
    • This approach can serve as a foundational element for networked healthcare data systems.