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Study Design

Enhances clinical trial protocol design with advanced feasibility insights and operational data for improved efficiency.

Solution by Advarra
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Overview

The Study Design Solution by Advarra leverages advanced feasibility insights to enhance clinical trial protocol design, aiming for greater operational efficiency. It utilizes a comprehensive set of digitized protocol-related documents and operational data, offering sponsors deeper insights than those available from in-house or public datasets.

Powered by AI and Extensive Data

This solution is driven by the industry's largest trial-operations dataset, encompassing over 30,000 studies across various therapeutic areas, phases, and trial types. It provides granular insights into assessment schedules to optimize visits, reducing the burden on sites and patients.

Comprehensive Study Modifications Insights

The solution offers visibility into longitudinal study modifications, helping to identify key drivers of protocol amendments. This intelligence supports sponsors in anticipating operational challenges and making informed decisions to streamline trial designs.

Flexible Access to Protocol Design Intelligence

Advarra provides secure, self-service access to operational insights, allowing technical teams to explore data for internal analyses and business intelligence. Custom benchmarking and expert guidance further support smarter study design through tailored data visualizations and consultations.

  • Process Improvement: Accelerates the study design process with fewer iterations.
  • Simpler Designs: Minimizes operational complexity to speed up trial timelines.
  • Competitive Edge: Utilizes unmatched operational intelligence for a competitive advantage.

The solution is powered by Braid, Advarra's data and AI engine, which transforms unstructured data into actionable intelligence, enabling smarter trial design and faster decision-making throughout the clinical trial lifecycle.

Meta

Category
Clinical Trial Management
Field(s)
Clinical & Trials
Target user(s)
Clinical / Diagnostic Professional
Tag(s)
Clinical Trials ManagementAI