Expert Insights On Data Management & Analysis

1. 3 Ways To Solve Data Friction In Modern Clinical Data Management 8/4/2026

   Senior clinical data manager Shasidar Reddy Abbidi shares how to reduce data friction with targeted automation, early standards adoption, and clearer workflows that move data to decisions faster.

2. 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.

3. 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.

4. 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.

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. The Compliance Problem With Excel Trackers And Other Computational Tools — And How AI Can Help 6/16/2026

   Everyday computational tools such as Excel are simple and easy to use, but they carry risk. Learn how these tools might not adhere to 21 CFR Part 11, and discover how AI can help keep them compliant.

7. It's A Fact: Sharing Clinical Trial Results With Participants Builds Trust 5/14/2026

   CISCRP experts share results from their annual Perceptions & Insights Study showing that patients continue to place a high value on receiving both individual and overall study results.

8. Reimagining Data Governance For The AI Era 4/24/2026

   Understand the persistent governance challenges that undermine AI initiatives and walk away with a robust blueprint for building a resilient, scalable, and ethically sound framework.

9. Is It Time To Replace RECIST — Or Just Add AI? 4/16/2026

   Immunocore Chief Regulatory and Quality Officer Mark Moyer explains why new tools, including AI-based approaches, may better capture cancer treatment response than existing measures, such as ir-RECIST.

10. Redefining Patient Outcomes Measurement Using RWE Data 4/7/2026

    Discover an outcome-channeling framework that organizes patient outcomes into multidimensional domains, emphasizing longitudinal trajectories rather than single time endpoints.