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[Data processing in the clinical laboratory (author's transl)]

A Goguel

    Nouvelle Revue Francaise D'Hematologie
    |June 10, 1978
    PubMed
    Summary
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    This study examines laboratory data flow, organization, and information transfer to identify potential errors and improve diagnostic test result handling. It provides insights into optimizing laboratory workflows for enhanced efficiency and accuracy.

    Area of Science:

    • Clinical laboratory science
    • Information management in healthcare
    • Laboratory workflow optimization

    Context:

    • Evaluating the entire lifecycle of laboratory data, from initial input to final result dissemination.
    • Addressing the complexities of biological sample and data handling within diagnostic settings.
    • Identifying critical control points for error mitigation in laboratory processes.

    Purpose:

    • To systematically analyze the flow of biological materials and data within a laboratory setting.
    • To investigate data organization, storage, and transfer methodologies.
    • To explore principles of laboratory organization, task prioritization, and future trends in result handling.

    Summary:

    • The study details the process of data and biological material intake, primary message creation, and potential error sources.

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  • It covers data organization, storage techniques, and information transfer methods.
  • Principles of laboratory organization, inherent constraints, task prioritization, and future perspectives on handling laboratory test results are discussed.

    • Impact:

    • Enhancing the reliability and accuracy of diagnostic test results through improved data management.
    • Providing a framework for optimizing laboratory operations and resource allocation.
    • Informing the development of more efficient and robust laboratory information systems.