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Related Experiment Video

Updated: Dec 6, 2025

Hydra, a Computer-Based Platform for Aiding Clinicians in Cardiovascular Analysis and Diagnosis
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Health Analytics as a Service with Artemis Cloud: Service Availability.

Carolyn McGregor, Catherine Inibhunu, Jonah Glass

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    Summary

    Big Data analytics can enhance clinical decision support using high-speed physiological data streams from critical care devices. This study presents a Health Analytics as-a-Service model deployed in two neonatal intensive care units (NICUs).

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    Area of Science:

    • Biomedical Engineering
    • Health Informatics
    • Data Science

    Background:

    • Critical care units generate vast amounts of high-speed physiological data.
    • Existing approaches for analyzing this Big Data are often not systemic or reliable for clinical decision support.

    Purpose of the Study:

    • To present a Big Data analytics-based Health Analytics as-a-Service model.
    • To evaluate the deployment and availability of this model in real-world clinical settings.

    Main Methods:

    • Instantiation of a Health Analytics as-a-Service model named Artemis Cloud.
    • Deployment of two Artemis Cloud instances to support neonatal intensive care units (NICUs).
    • Evaluation of the availability results from the deployed instances.

    Main Results:

    • Successful deployment of two Artemis Cloud instances in two NICUs in Ontario, Canada.
    • Demonstrated availability of the Health Analytics as-a-Service model for supporting clinical decision-making.

    Conclusions:

    • A Big Data analytics-based Health Analytics as-a-Service model can be effectively implemented in critical care settings.
    • The deployed model shows promise for improving clinical decision support through the analysis of high-speed physiological data.