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Related Experiment Videos

Simplified computerization of data-base for diabetic patients

O Carandente, G Dossi, M Luzzana

    La Ricerca in Clinica E in Laboratorio
    |April 1, 1982
    PubMed
    Summary
    This summary is machine-generated.

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    A new computerized database system was developed for managing diabetes out-patient clinics and hospital patients. This system simplifies patient tracking, recall management, and data analysis for healthcare professionals.

    Area of Science:

    • Medical Informatics
    • Health Management Systems
    • Diabetes Care Technology

    Background:

    • Effective management of diabetes patients is crucial for clinical outcomes and resource allocation.
    • Traditional record-keeping methods can be inefficient and prone to errors.
    • The need for accessible and user-friendly data management tools in specialized clinics is evident.

    Purpose of the Study:

    • To develop a cost-effective computerized database for diabetes patient management.
    • To enhance the efficiency of out-patient clinic operations and hospital patient tracking.
    • To provide tools for patient recall, record printing, and statistical analysis.

    Main Methods:

    • Utilized low-cost commercial microcomputers to build the database system.

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  • Developed software enabling patient selection based on user-defined characteristics.
  • Implemented features for generating recall letters, medical/administrative registers, and statistical reports.

    • Main Results:

    • Successfully created a functional computerized database for diabetes patient management.
    • The system allows for flexible patient cohort selection and targeted recall.
    • Enabled streamlined printing of registers for various administrative and analytical purposes.
    • Demonstrated ease of use and learning for nominally-trained staff through colloquial interaction.

    Conclusions:

    • The developed microcomputer-based system offers an efficient and accessible solution for diabetes patient management.
    • It supports improved patient recall, administrative tasks, and data analysis in clinical settings.
    • The system's user-friendly interface facilitates adoption by healthcare staff with minimal training.