Clinical Data Management Featured Articles

  1. Before AI Can Transform Clinical Trials, It Needs More Patient Data 7/7/2026

    King’s College London Professor Maddy Parsons says AI won't improve clinical trials — unless researchers begin collecting richer biological data, embracing diversity, and treating every clinical trial as learning opportunity.

  2. CTTC Opens With A Reality Check On AI 7/7/2026

    I expected the Clinical Trials Technology Congress opening plenary to focus on AI's latest capabilities. Instead, speakers challenged attendees to think about the harder work that comes first: connecting data, redesigning workflows, and helping people embrace new ways of working. It was a refreshing reality check on what AI adoption really requires.

  3. i-Cubed Used End-To-End AI In A Proof-Of-Concept Trial. Here's What They Learned 7/2/2026

    Discover how well AI fared in document generation, patient engagement, data integration, and more in an end-to-end proof-of-concept study run by i-Cubed.

  4. Why "Steady Evolution" Best Describes AI's Future 7/1/2026

    I hosted a panel of clinical development veterans to separate AI hype from reality. Their message was clear: AI will change clinical trials, but success will depend less on the technology itself than on adoption, culture, and realistic expectations.

  5. Understanding And Preserving Data Flow Integrity In AI-Assisted Clinical Trials 6/26/2026

    Learn from ex-FDA and ELIQUENT consultant Dawn Wydner, Ph.D.., how treating data integrity as an end-to-end clinical information flow issue, rather than a database-only concern, is essential to managing AI-related risk.

  6. AI Can Help Design Better Trials, But It Still Can't Tell You Whether Patients Will Join Them 6/25/2026

    AI is changing the way clinical trial trials are discussed, planned, and designed. But even with an improved protocol, are AI-enhanced trials driving better enrollment?

  7. Will AI And Agile Project Management Help Advance RBM? 6/24/2026

    Will AI-based tools embedded into risk based-monitoring prompt an Agile project management moment for clinical research? Sidharth Ananthanarayan explains why AI-based tools are not the answer but part of it.

  8. A Sponsor Playbook For Matching AI Use Cases To Readiness, Risk, And ROI 6/18/2026

    Clinical technology consultant Karen Maduschke explains why your next AI investment should solve a problem you can articulate, with data you can access, in a process you can change.

  9. 3 Views From Inside FDA's RTCT Pilot 6/5/2026

    The FDA's RTCT pilot promises to bring clinical trials into the real-time era, but questions remain about governance, oversight, and implementation. We asked three organizations participating in the initiative what they see as the opportunities, challenges, and realities behind the FDA's most ambitious modernization effort in years.

  10. What Is Computer Software Assurance, And What Are Its Benefits? 6/2/2026

    Kamila Novak reviews final computer software assurance (CSA) guidance and what it means for those working on medical device clinical trials.