INSIGHTS ON CLINICAL TRIAL TECHNOLOGIES

• Improving The eCOA Experience

  Discover how template-driven builds and reuse can slash eCOA timelines by 50% while solving the licensing and translation hurdles that delay First Patient In.

• Investigator SmartSelect

  This advanced recommendation engine identifies protocol-specific investigators in just minutes, dramatically shortening a process that typically takes four to six weeks.

• DHTs: Accelerate Huntington's Disease Research And Drug Development

  Discover how digital health technologies are reshaping Huntington’s Disease trials with real-world data insights. Watch now to explore the future of HD measurement.

• Building A Clinical Research AI Governance Framework

  Learn how structured oversight, transparency, and collaboration help ensure compliance, reduce bias, and build trust while enabling innovation in increasingly data-driven trials.

• Seamless RTSM Rescue Case Study

  5/13/2026

  Learn how we helped a company build an ecosystem to accommodate the SAP integration and a new participant workflow.

• How Digitized Protocols Are Accelerating Clinical Research

  4/15/2025

  Digitized protocols, enhanced by artificial intelligence (AI), are transforming clinical trial operations by accelerating document generation, system integration, and trial optimization.

• How Sponsors Can Drive Success With Central eSource At Investigator Sites

  6/17/2025

  Centralized eSource systems enable complex clinical trials to align with key regulatory frameworks, including ICH E6(R3), ICH E8(R1), and 21 CFR 312, to meet the highest standards of GCP.

• Build Or Buy: Adopting AI Agents In Life Sciences

  1/8/2026

  Should your team build custom AI agents from scratch or partner with a ready-made solution? This practical guide cuts through the hype to reveal the strategic insights you need.

• Human Abuse Potential: Participant Recruitment

  5/1/2026

  Take a look at the strategies behind successful human abuse potential studies, from volunteer recruitment models to retention challenges, and how participant experience directly impacts data quality.