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An information system for epidemiology based on a computer-based medical record

C Verdier1, A Flory

  • 1Laboratoire d'Ingénierie des Systèmes d'Information, Institut National des Sciences Appliquées de Lyon, France.

Methods of Information in Medicine
|December 1, 1994
PubMed
Summary

This study introduces a novel information system for epidemiology, improving data collection and analysis for physicians and epidemiologists. The system utilizes a client-server architecture and object-oriented modeling for efficient data management and pharmaco-economic studies.

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Area of Science:

  • Computer Science
  • Epidemiology
  • Health Informatics

Background:

  • Current epidemiological data systems face challenges in efficient collection, organization, and distribution.
  • Distinct user groups, physicians and epidemiologists, have unique data requirements and goals.

Purpose of the Study:

  • To propose a new information system architecture for epidemiology.
  • To address the differing needs of physicians and epidemiologists through a client-server model.
  • To facilitate efficient data acquisition for epidemiological and pharmaco-economic studies.

Main Methods:

  • Development of a client-server architecture with physician workstations and a central service center.
  • Implementation of data classification and coding for retrieval.

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  • Utilization of an object-oriented approach for system modeling, including generalization, aggregation, and encapsulation.

    • Main Results:

    • A physician workstation enables recording and querying of patient medical information and pharmacological data.
    • The service center aggregates data from workstations for statistical and pharmaco-economic studies.
    • Object-oriented modeling proved effective for representing the information system's complexities.

    Conclusions:

    • The proposed system enhances data acquisition efficiency in epidemiology.
    • The client-server architecture effectively meets the diverse needs of physicians and epidemiologists.
    • Object-oriented principles are well-suited for modeling complex epidemiological information systems.