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Judi

Clinical Trial Workflow Software

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Description

Judi is a comprehensive clinical trial workflow software developed to address the complexities and inefficiencies in bringing new therapies to market. It serves as a unified collaboration platform, enabling clinical trial teams, sponsors, CROs, and other partners to seamlessly manage intricate workflows, interactions, and insights. By streamlining these processes, Judi aims to accelerate the pace of progress in clinical research, ultimately helping to deliver innovative treatments to patients more quickly while maintaining strict adherence to regulatory standards.

The platform is engineered to replace cumbersome manual processes, disparate unaudited tools like spreadsheets, untraceable email queries, and disconnected file-sharing systems. Judi's cloud-based solutions are designed to enhance trial speed, operational efficiency, adaptability, and overall quality. It fosters an environment of orchestrated collaboration, robust simplicity, and secure, efficient workflows, allowing research teams to focus on their core mission of advancing medical science.

Key Features

  • Orchestrated Collaboration: Seamlessly connects teams, sites, and partners, enabling extensive collaboration across the clinical trial journey.
  • Robust Simplicity: Reduces complexity in clinical trial workflows, offering a more seamless, transparent, and tailored user experience.
  • Efficient & Secure Workflows: Employs purposeful automation and leading security measures for optimized process management and deeper insights from trial data.
  • Client-Centric Solutions: Provides focused, innovative solutions adaptable to specific client workflows and desired business outcomes.
  • Built-in Regulatory Compliance: Designed to help life sciences companies meet regulatory requirements and maintain compliance throughout the trial lifecycle.
  • Process Automation: Leverages modern workflow technology to automate data collection, distribution, and other manual processes, reducing errors and burdens.

Use Cases

  • Managing end-to-end clinical trial workflows on a unified platform.
  • Facilitating collaboration between trial sites, sponsors, CROs, and other stakeholders.
  • Ensuring adherence to regulatory compliance standards in life sciences.
  • Automating manual processes to improve efficiency and data quality in clinical trials.
  • Securing clinical trial data and managing Personal Health Information (PHI) privacy.
  • Streamlining specific trial processes such as adjudication, DSMB management, eligibility screening, remote monitoring, and imaging review.
  • Improving data flow transparency for faster decision-making in clinical research.

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