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SUMER: a database concept for clinical research and patient data-management

F Lustman

    Computer Programs in Biomedicine
    |October 1, 1982
    PubMed
    Summary

    This study introduces a flexible database model for patient information and clinical research, simplifying data organization and adaptation without programming. The new model enhances usability for evolving data structures in healthcare and research settings.

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    Area of Science:

    • Health Informatics
    • Database Management Systems
    • Clinical Research Informatics

    Background:

    • Patient information systems and clinical research databases require adaptable data structures.
    • Existing models often involve complex programming for data organization and modification.

    Purpose of the Study:

    • To present a novel database model for patient information systems and clinical research.
    • To address the challenges of changing data structure needs and reduce programming dependencies.

    Main Methods:

    • The model is based on relational and entity-relationship principles.
    • It supports flexible record and file creation, allowing records in multiple files.
    • Definition-level conditions enable subfile creation without extraction programs.

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    Main Results:

    • The model facilitates easy database reorganization without programming.
    • It allows for dynamic subfile definition based on selected criteria.
    • The system is currently under development and has been tested in several cases.

    Conclusions:

    • The proposed database model offers a flexible and programming-free solution for evolving data management needs in healthcare and research.
    • Further development and testing are ongoing to validate its efficacy in real-world applications.