INSIGHTS ON CLINICAL TRIAL TECHNOLOGIES

• Using eConsent Data To Populate Site And Sponsor Data Systems

  A top-10 pharmaceutical company was looking to reduce the amount of administrative burden on their clinical trial sites and themselves. See how we accomplished it, using eConsent.

• From Buzzword To Backbone: AI Reshaping Clinical Trial Operations

  For teams evaluating how to accelerate study startup without sacrificing rigor, this is a clear look at what AI-native trial technology makes possible now.

• How EDC Software Minimizes Bias In Clinical Trials

  Electronic Data Capture (EDC) systems play a crucial role in mitigating bias through automated validation rules, structured workflows, and real-time monitoring.

• Human Abuse Potential: Subjective Ratings

  Accurate subjective ratings are central to Human Abuse Potential studies. Learn how Visual Analog Scales are administered, what influences responses, and why data collection practices are essential.

• Unblinding Risks In RTSM: What's Still Going Wrong, And How Korio Fixes It

  3/9/2026

  Protecting study integrity requires more than just luck. Learn how systemic gaps lead to unintentional unblinding and how a proactive, engine-based approach can safeguard your clinical data.

• What Unified eCOA And IRT Can Unlock

  4/6/2026

  See how real-time scoring and automated eligibility checks helped a global dermatology study reduce site burden, avoid manual errors, and move participants through screening with greater speed.

• Step Inside IQVIA One Home for Sites™

  1/28/2025

  Whether you're a sponsor, site, or technology vendor, now is the time to embrace One Home and join this industry-wide collaboration.

• FDA Pushes For Patient Voice: ePRO In Oncology Trials

  1/8/2026

  FDA urges sponsors and CROs to include patient voices in oncology trials. Discover why it matters and how to start integrating this approach.

• Real-Time Data... Are We Fixing The Right Bottleneck (Or Any For That Matter)?

  5/6/2026

  Real-time data streaming to regulators is a bold step, but true clinical acceleration requires solving site-level bottlenecks and data silos to reduce the administrative burden on research.