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Application of the Intelligent High-Throughput Antimicrobial Sensitivity Testing/Phage Screening System and Lar Index of Antimicrobial Resistance

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Using a relational database to index infectious disease information.

¹Specialized Information Services, National Library of Medicine, Suite 510, Bethesda, MD 20892, USA. brownjay@haz-map.com

International Journal of Environmental Research and Public Health

|July 13, 2010

Summary

A new intelligent database maps 275 infectious diseases for healthcare professionals. This decision-support tool allows queries by symptoms, regions, and epidemiological factors, aiding medical and public health professionals.

Keywords:

decision support differential diagnosis early detection indexing information infectious diseases knowledge mapping public health informatics relational database

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Area of Science:

Medical Informatics
Epidemiology
Database Management

Background:

The early 1990s saw the advent of personal computers and user-friendly software, enabling the creation of relational databases for medical knowledge.
Domain experts act as mapmakers, outlining medical domains and detailing features to build comprehensive knowledge bases.

Purpose of the Study:

To describe an intelligent database designed to support healthcare professionals' decision-making.
To present a database containing profiles of 275 infectious diseases.

Main Methods:

Development of a relational database to store medical knowledge.
Inclusion of detailed profiles for 275 infectious diseases.
Implementation of a query system for disease retrieval based on specific criteria.

Main Results:

The database allows users to search for diseases matching criteria such as symptoms, endemic regions, and epidemiological factors.
Epidemiological factors include sources (patients, water, soil, animals), routes of entry, and insect vectors.
The database serves as a valuable resource for medical and public health professionals.

Conclusions:

Intelligent databases can effectively map medical knowledge for practical applications.
This infectious disease database functions as a decision-support software tool for medical and public health professionals.
The system facilitates efficient retrieval of disease information based on diverse parameters.