Clinical Trial Solutions That Make Diversity and Compliance Effortless

    Streamline patient recruitment, cut screening failures by 80%, and ensure fully compliant trials with Kitsa.

    The first 100 sites to register receive a $25 gift card.

    Why Diversity and Compliance Are Critical in Clinical Trial Solutions

    Conventional trials often miss underrepresented patients due to manual screening and limited site networks, affecting trial outcomes and regulatory approvals.

    Underrepresented Patients

    Conventional trials often miss underrepresented patients due to manual screening limitations.

    Limited Site Networks

    Narrow site networks restrict access to diverse patient populations.

    Slow Approvals

    Lack of diversity can slow regulatory approvals and affect trial outcomes.

    Sponsor Confidence

    Non-representative trials affect sponsor confidence and market applicability.

    Kitsa's Diversity and Compliance Solutions

    AI-powered tools that expand patient reach, ensure compliance, and accelerate diverse recruitment.

    Diverse Patient Reach

    Expand patient reach to include underrepresented populations in your trials.

    Full Compliance

    Ensure regulatory compliance with built-in diversity and inclusion tracking.

    Accelerated Recruitment

    Speed up enrollment with AI-powered screening that finds diverse candidates faster.

    80% Fewer Failures

    Reduce screening failures dramatically while maintaining diversity goals.

    Ready to Build More Diverse and Compliant Trials?

    See how Kitsa can help you meet diversity goals while maintaining full regulatory compliance.

    Frequently Asked Questions

    FAQ

    Frequently asked questions

    What is smart protocol design?
    Smart protocol design uses AI to test eligibility criteria, endpoints, and visit schedules against real-world patient and site data before the protocol is finalized; reducing screen failures and amendment cycles.
    Can it predict protocol amendments?
    Kitsa surfaces amendment-risk indicators by comparing draft elements against historical protocol amendments in the same indication and design class.