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Intelligent management of epidemiologic data.

F Ferri1, L M Evoli, D M Pisanelli

  • 1University of Rome, Italy.

Proceedings. Symposium on Computer Applications in Medical Care
|January 1, 1991
PubMed
Summary

This study introduces ADAMS, an intelligent system for managing aggregated epidemiologic data. ADAMS aids in analyzing trends and detecting abnormalities for better public health decision-making.

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Area of Science:

  • Epidemiology
  • Health Informatics
  • Data Management

Background:

  • The lifecycle of epidemiologic data involves production, interpretation, and decision-making.
  • Computerized systems are crucial for managing and analyzing this data effectively.
  • Intelligent data management is needed for trend analysis and abnormality detection.

Purpose of the Study:

  • To outline the challenges in intelligent management of epidemiologic data.
  • To present the features of the ADAMS system for managing aggregated data.

Main Methods:

  • Focus on intelligent management of epidemiologic data.
  • Development of the ADAMS system for aggregated data.
  • Implementation in a personal computer environment.

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Main Results:

  • The ADAMS system is designed for intelligent analysis of aggregated epidemiologic data.
  • It facilitates trend analysis and comparison with reference values.
  • The system can assist in detecting abnormalities.

Conclusions:

  • Intelligent management systems like ADAMS are valuable for the exploitation of epidemiologic data.
  • ADAMS provides computerized support for analyzing trends and detecting abnormalities.
  • The system is implemented on a personal computer for practical use.