Protocol-to-Study Design Acceleration

Automating protocol structuring to accelerate study design and configuration

Study design creation often required manual extraction of key elements from lengthy protocols and eCRFs, leading to delays, errors, and repeated QC cycles. Aventior implemented an AI-powered solution to automate protocol structuring and accelerate study build with improved accuracy and traceability

AI-powered protocol-to-study design acceleration in clinical trials

Study design is no longer fragmented—it is structured, streamlined, and automated

The Challenge

Complex Protocols Leading to Slow, Error-Prone Study Builds

Study design creation relied on manual extraction of arms, visits, eligibility, and assessments from complex protocols. This resulted in slow study builds, repeated QC cycles, increased configuration gaps, and delays in amendments

Solution

Implemented LLM-based protocol structuring to extract study components from protocols
Automated study blueprint drafting aligned to standard configuration guidelines
Enabled guided study configuration with structured, platform-ready outputs
Provided amendment and QC support with impact analysis and structured change summaries

LLM-based protocol structuring for automated clinical study design

Impact

Faster Study Build, Reduced Errors, and Improved Traceability

Accelerated study blueprint preparation and configuration cycles
Reduced manual extraction errors and configuration gaps
Improved QC efficiency and protocol-to-build traceability
Enabled faster and more efficient amendment implementation

Measurable Impact

40–50%

Faster Study Build Cycles

60–70%

Reduction in Manual Extraction Errors

30–40%

Faster QC Resolution