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Updated: Sep 11, 2025

Facilitating the Analysis of Immunological Data with Visual Analytic Techniques
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VIVA: Virtual Healthcare Interactions Using Visual Analytics, With Controllability Through Configuration.

Jurgen Bernard, Mara Solen, Helen Novak Lauscher

    IEEE Transactions on Visualization and Computer Graphics
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    Summary
    This summary is machine-generated.

    A new visual analytics tool, VIVA, was developed to analyze virtual healthcare service data. This tool supports HealthLink BC in optimizing patient care and system capacity during the COVID-19 pandemic.

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    Area of Science:

    • Health Informatics
    • Data Visualization
    • Human-Computer Interaction

    Background:

    • The COVID-19 pandemic necessitated rapid adaptation of virtual healthcare services.
    • HealthLink BC (HLBC) integrated physicians into triage to enhance patient outcomes and system capacity.
    • Effective analysis of service usage data is crucial for optimizing virtual healthcare delivery.

    Purpose of the Study:

    • To design and implement VIVA (Virtual healthcare Interactions using Visual Analytics), a visual analytics tool for HLBC.
    • To support HLBC in analyzing diverse usage data from their virtual healthcare service.
    • To improve patient outcomes, satisfaction, and preserve healthcare system capacity.

    Main Methods:

    • Abstraction of HLBC's data and data analysis tasks to inform VIVA's design.
    • Development of the VIVA tool incorporating the Scan, Act, Adapt workflow.
    • Validation of VIVA's design through case studies with domain experts.
    • Proposal of the Controllability Through Configuration model for design study analysis.

    Main Results:

    • VIVA provides a framework for analyzing virtual healthcare interactions.
    • The Controllability Through Configuration model offers a method for evaluating design studies.
    • Architectural evolution of VIVA was analyzed through the lens of configuration.

    Conclusions:

    • VIVA effectively supports the analysis of virtual healthcare service data.
    • Configuration serves as a bridge between programming and end-user interactivity.
    • The study provides insights into optimizing virtual healthcare services through visual analytics.