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    VeriDose is developed as a clinical trial data management platform automating collection, validation, and regulatory-ready reporting

    PHARMA/Clinical Data Platform Development/2025

    Cutting Clinical Trial Data Review Time by 60% with Automated Validation

    Cutting Clinical Trial Data Review Time by 60% with Automated Validation

    Key results from this project

    60%

    Reduction in Data Review Time

    75%

    Fewer Data Queries Raised Post-Entry

    Project Summary

    VeriDose Clinical approached Hatzs to modernize how trial data moved from investigator sites to regulatory submission. The goal was a platform automating data capture and validation across trial sites, catching data quality issues immediately instead of during a slow, manual review months later.

    Given the regulatory weight of clinical trial data, VeriDose needed a system built around validation and traceability from day one. Hatzs worked with the clinical operations and biostatistics teams to ensure every automated check matched their existing quality standards.

    LocationUnited States
    Cooperation Period12 Months
    IndustryPHARMA
    Services Used
    Clinical Data Platform DevelopmentCompliance ArchitectureBackend DevelopmentData Engineering
    High performance components

    High performance components for demanding applications

    THE SITUATION

    They needed a technology partner to support its digital strategy

    Given the regulatory weight of clinical trial data, VeriDose needed a system built around validation and traceability from day one. Hatzs worked with the clinical operations and biostatistics teams to ensure every automated check matched their existing quality standards.

    • Automated Data Capture: Structured intake of trial data directly from investigator sites, reducing manual transcription.
    • Real-Time Validation: Automated checks flagging data quality issues as they're entered, not weeks later.
    • Audit Trail & Traceability: A complete, immutable record of every data change for regulatory submission.
    Dashboard on laptop
    THE SOLUTION

    Our Approach & Solution Delivery

    VeriDose Clinical approached Hatzs to modernize how trial data moved from investigator sites to regulatory submission. The goal was a platform automating data capture and validation across trial sites, catching data quality issues immediately instead of during a slow, manual review months later.

    Key implementation aspects included:

    01

    Automated Data Capture

    Structured intake directly from investigator sites, replacing manual transcription with validated digital entry.

    02

    Real-Time Data Validation

    Automated checks that flag inconsistencies and quality issues as data is entered, instead of during a slow retrospective review.

    03

    Regulatory-Ready Audit Trail

    An immutable, fully traceable record of every data change, built to withstand regulatory audit from day one.

    Cutting Clinical Trial Data Review Time by 60% with Automated Validation
    THE RESULT

    Results & Outcomes

    VeriDose Clinical now catches data quality issues in real time instead of during a slow manual review, shortening the path to submission.

    • Automated Data Capture: Structured intake of trial data directly from investigator sites, reducing manual transcription.
    • Real-Time Validation: Automated checks flagging data quality issues as they're entered, not weeks later.
    • Audit Trail & Traceability: A complete, immutable record of every data change for regulatory submission.
    • Site Coordination Tools: Visibility into enrollment, protocol deviations, and site performance across all trial locations.
    • Regulatory-Ready Reporting: Export formats aligned with submission requirements to reduce last-mile preparation work.

    Given the regulatory weight of clinical trial data, VeriDose needed a system built around validation and traceability from day one. Hatzs worked with the clinical operations and biostatistics teams to ensure every automated check matched their existing quality standards.

    60%Reduction in Data Review Time
    75%Fewer Data Queries Raised Post-Entry
    100%Audit-Ready Data Traceability
    Real-TimeCross-Site Enrollment Visibility

    Data issues used to surface months later during review, when fixing them was expensive and slow. Now we catch them the day they happen, at the site, before they ever become a problem.

    DM
    Dr. Marcus LevinVP of Clinical Operations, VeriDose Clinical
    VE

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    Cutting Clinical Trial Data Review Time by 60% with Automated Validation | Case Studies | HATZS