INSIGHTS ON CLINICAL TRIAL TECHNOLOGIES

• Solving Key eCOA Challenges Through Digital Trials—Proof Points!

  Medable has reached some important milestones and shares them in its end-of-year report. Check it out to see what game-changing results they've brought to their customers.

• Investigator Databank And DQS: Welcoming New Consortium Members

  Join the Data Query System consortium to access a comprehensive, collaborative platform that enhances clinical trial feasibility, site selection, and investigator engagement.

• Changing The Clinical Feasibility Game With AI

  AI is only as good as the data it’s built upon. Our customized AI platforms are constructed on a foundation of trustworthy, carefully curated data to produce detailed, expert-driven responses.

• A New Take On The Evolving Role Of AI In Clinical Trials

  Artificial intelligence is shifting from promise to practice in biopharma. Zhong Lu, director of data science and AI at Novartis, outlines how AI is evolving the clinical trials process end-to-end.

• 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.

• The Problem With Adding RTSM Software Into An eClinical Suite

  5/13/2026

  RTSM software is very different from other eClinical tools, and trying to bundle it into an all-in-one platform can sometimes create more challenges than advantages.

• Shorten Trial Timelines With Better Evidence Generation

  8/2/2024

  Learn how digital data is helping the pharmaceutical industry tackle its most daunting challenge; the 12 year, $3 billion average to bring a new drug to market.

• Preparing Your ERP For Life Science Commercial Demands

  6/25/2026

  Moving from clinical to commercial production puts new pressure on inventory and quality systems. Learn how to close those gaps before they slow your launch.

• A Guide To Medical Coding In Clinical Trials

  3/30/2026

  Medical coding transforms free-text clinical data into standardized terminology, enabling consistent analysis, safety monitoring, and regulatory review. Clear guidelines and quality control help reduce variability and protect data integrity across the entire clinical trial lifecycle.