INSIGHTS ON CLINICAL TRIAL TECHNOLOGIES

• Why The TrialKit Platform License Agreement Changes The Economics Of Clinical Trials

  A platform‑based pricing model removes change‑order friction, enabling predictable budgets and faster study adjustments. It supports operational agility and portfolio‑level efficiency as trials evolve.

• State Of Clinical Trial Technology: The AI Inflection Point

  Digital maturity gaps are widening in clinical research. Connected workflows speed insights and execution, while manual processes leave organizations increasingly behind.

• Accelerating Study Startups: Drive Efficiency From Protocol To Go-Live

  Speed up trial launches and maintain predictable timelines by leveraging a modern, integrated approach to eCOA setup that reduces complexity.

• Castor eConsent: Site View

  Study coordinators aim to enroll participants efficiently through a partnership that leverages direct-to-patient marketing to streamline recruitment.

• How Site eSource Completes And Extends The EHR To EDC Initiative

  7/7/2025

  This study evaluates to what degree an eSource-to-EDC data transfer initiative succeeds through two key dimensions: "Mappability" and "Prevalence".

• The Connected Patient In Clinical Trials

  12/23/2025

  Discover how digital innovation and patient-centric technologies are reshaping clinical trials by improving access, efficiency, and data-driven insights.

• From Bottlenecks To Breakthroughs: How AI Is Transforming Translation Timelines

  9/12/2025

  Take a deeper look at AI-enabled translations and uncover how they are able to drive a remarkable 43% reduction in overall translation timelines.

• Partnership Driving Superior Enrollment And Speed In Phase III Trial

  1/31/2025

  Examine the partnership between CRIO and Sitero, including how it underscores the significant impact of technology in optimizing trial performance and accelerating treatment development.

• Why Protocol‑Driven eSource Solves Data Capture For 80% Of Sites

  2/6/2026

  Designing data capture around study protocols boosts data quality and real‑time visibility. Reducing transcription and aligning workflows helps teams improve compliance and speed decisions.