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    This study introduces the Collaborative Space - Analysis Framework (CS-AF) to evaluate technology-mediated collaborative workflows. CS-AF identifies workflow gains and gaps for continuous improvement across various domains.

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    Area of Science:

    • Health Informatics
    • Workflow Analysis
    • Collaborative Technologies

    Background:

    • Evaluating collaborative technology-mediated workflows is crucial for identifying areas of improvement.
    • Existing methods may lack a systematic approach to assess workflow gains and gaps.
    • Predictable evaluation is needed for optimizing collaborative processes.

    Purpose of the Study:

    • To introduce a novel evaluation framework for technology-mediated collaborative workflows.
    • To provide a predictable method for assessing gains and gaps in collaborative processes.
    • To enable continuous workflow improvement through systematic analysis.

    Main Methods:

    • The Collaborative Space - Analysis Framework (CS-AF) is a 5-step meta-process.
    • Steps include workflow definition, baseline assessment, technology integration, post-implementation assessment, and analysis.
    • Empirical study of a hypertension exam workflow for telehealth was conducted using CS-AF.

    Main Results:

    • CS-AF provides a systematic approach to evaluate collaborative workflows.
    • Identifies critical cross-disciplinary data on gains and gaps in technology-mediated workflows.
    • Comparison with baseline workflows facilitates continuous improvement.

    Conclusions:

    • The Collaborative Space - Analysis Framework (CS-AF) is an effective meta-analysis process.
    • CS-AF can be adapted for evaluating collaborative workflows in multiple domains.
    • This framework supports data-driven optimization of technology-mediated collaborative processes.