Optimize clinical trial planning to drive trial success

    Leverage big data sets, natural language processing, and predictive modeling to generate actionable insights and make informed decisions.

    Data analytics-driven clinical trial planning, operations, and site management


    Data-driven global site selection, protocol feasibility assessment, and effective site management are imperative to improve clinical trial timelines and outcomes. Life sciences companies are leveraging real-world data, machine learning, natural language processing, and predictive modeling to:

    • optimize the clinical trial setup and operations right from site selection to regulatory submission.
    • establish virtual controls for early-stage trials to model outcomes without treatment/estimate efficacy.
    • react sooner with more information through accelerated signal detection.

    Leverage multiple data sources and technology to optimize trial planning, site selection, and enrollment decision and get real-time insights into ongoing trials!


    Read Blog / The innovative path forward in clinical trials

    Advanced analytics for clinical trial optimization

    Service offering

    Key results

    Business outcomes

    • Site selection and patient recruitment
    • Natural language processing
    • Predictive insights

    Comprehensive insights on study design, setting, and participants


    Optimization that directly reflects in the cost of running a trial


    Advanced automation for early warning

    Clinical program access

    • Diversity in clinical trials without geographic barriers, with focus on developing countries.

    Digital trials

    • Securely manage data sources and harmonize with performance analytics and remote monitoring.
    • Reimagine the process to drive automation for clinical data, from protocol to submission.

    Analyzing R&D strategy

    • Global regulatory and compliance insight for fast regulatory approval.

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