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Computer programs in histopathology record keeping

K V Swettenham, C Nickols, C L Berry

    Journal of Clinical Pathology
    |January 1, 1982
    PubMed
    Summary
    This summary is machine-generated.

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    Computer-generated results and indexing improve histopathology services facing increased workloads and complex biopsy data. This system utilizes an indexed file system for efficient data management and retrieval in pathology departments.

    Area of Science:

    • Medical Informatics
    • Computational Pathology
    • Health Services Research

    Background:

    • Pathology departments face increasing workloads and evolving data complexity from biopsies.
    • Laboratory statistics are crucial for financial planning and resource allocation in pathology.
    • Efficient data management is essential for modern histopathology services.

    Purpose of the Study:

    • To describe a computer-based system for generating results and indexing in histopathology.
    • To enhance the efficiency and value of pathological services through improved data handling.
    • To support secretarial use and streamline the coding process in histopathology.

    Main Methods:

    • Implementation of an indexed file system using the Basic Plus-2 programming language.

    Related Experiment Videos

  • Utilization of a PDP-11 computer for data processing and management.
  • Inclusion of error traps for system reliability and data integrity.
  • SNOP (Systematized Nomenclature of Pathology) coding performed by medical staff.
  • Main Results:

    • The developed system provides computer-generated results and indexing for histopathology.
    • The system is designed for efficient secretarial use, improving workflow.
    • SNOP coding by medical staff ensures accurate pathological data classification.
    • Error traps enhance the robustness and reliability of the system.

    Conclusions:

    • Computer-generated results and indexing significantly enhance histopathology services.
    • The described system offers a practical solution for managing increasing data and workloads.
    • Efficient data management and coding are vital for financial provision and service delivery in pathology.
    • The system facilitates better organization and retrieval of histopathological data.