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Arthur Domingues, A Sousa Neto, A Freitas

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    This study introduces a semantic integration service to deliver accurate diabetes information from medical databases to eHealth applications, addressing online health information inaccuracies.

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    Area of Science:

    • Health Informatics
    • Biomedical Data Integration
    • Digital Health

    Background:

    • Growing use of internet-accessible health technologies necessitates reliable information sources.
    • The internet contains vast medical information, but accuracy and completeness vary significantly.
    • eHealth applications require trustworthy data for effective patient support.

    Purpose of the Study:

    • To develop a semantic integration service for diabetes information.
    • To bridge the gap between medical databases and eHealth applications.
    • To enhance the reliability of health information in digital platforms.

    Main Methods:

    • Implementing a semantic web service for data integration.
    • Utilizing medical databases as the primary information source.
    • Designing the service for seamless integration into eHealth applications.

    Main Results:

    • A functional semantic integration service for diabetes data was developed.
    • The service successfully retrieves and integrates information from medical databases.
    • Demonstrated potential for improving data accuracy in eHealth tools.

    Conclusions:

    • Semantic integration services are crucial for accurate eHealth information delivery.
    • This approach can mitigate risks associated with scientifically inaccurate online health data.
    • The developed service offers a scalable solution for diabetes information management in eHealth.