Clinical Trial Technology Editorial

1. Rebecca Jackson: EHR-To-EDC Needs A Reality Check 8/10/2026

   Rebecca Jackson offers a candid reality check on EHR-to-EDC integration, AI, and clinical trial technology, arguing that innovation must solve real operational problems — not create new ones.

2. How Visible Is Your Clinical Trial To AI? 8/3/2026

   Ross Jacksons explores how clinical trials show up — it at all — in AI tools and what that means for sponsors' approach to publicizing trial information.

3. When One Trial Leads To Rethinking Them All 7/22/2026

   A chance observation during the COVID-19 pandemic led physician-scientist Dan Nicolau to question one of clinical research's oldest assumptions. I spoke with Nicolau about the trial that changed his perspective and why he believes continuous trial analytics could reshape the future of clinical development.

4. The Cost And ROI Of Agentic AI In Clinical Trials: What Sponsors And CROs Need To Know 7/21/2026

   Beroe Inc. analyst T.G. Prasanna discusses agentic AI for clinical research and how it must be evaluated as a regulated operating cost transformation, with platform, orchestration, compliance, validation, and oversight costs modeled together.

5. What Pistoia Alliance's AI Poll Reveals About Industry Readiness And Regulatory Confidence 7/17/2026

   Pistoia Alliance President Becky Upton, Ph.D., reviews findings from a poll about AI use in clinical research conducted at Clinical Trials Technology Congress (CTTC) that revealed barriers to adoption, early ROI, emerging use cases, and the role of patient-generated data.

6. A Role-Play Conference Session That Reframes The Data Manager's Job 7/14/2026

   A theatrical skit at the Clinical Trials Technology Congress (CTTC) in London imagined clinical data managers working alongside specialized AI agents by 2030. But the real takeaway wasn't about the technology. It was about how much of today's data manager role is work that shouldn't exist in the first place.

7. Why Life Science Tech Pilots Fail After The Demo — And How To Avoid It 7/13/2026

   A working demo might look promising, but it doesn't tell you whether the tech can be shipped, integrated, validated, and accepted by regulator. Tech consultant Lukasz Lazewski explains how to look past the allure and evaluate its true functionality.

8. Project Management And AI: What Should Be Automated And What Should Not 7/9/2026

   How can clinical research project management be optimize by AI? To determine its best fit, consultant Jason C. Bork assess AI's utility in project management through the lens of Plan, Do, Check, Act (PDCA).

9. 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.

10. 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.