Real-World Data / Real-Word Evidence Insights

1. The 'Swivel Chair' Problem Slowing Down Clinical Trials 11/5/2026

   A community hospital research director explains why trial data still can’t flow between the EMR and sponsor EDC systems, and what would fix it.

2. How A Duke Coordinator Turned An EHR Tool Into A Feasibility Engine 11/2/2026

   A Duke research program leader explains how she repurposed Epic’s Slicer Dicer tool to speed up site qualification and catch enrollment risk before it starts.

3. Inside Blessing Health's Move From 300 Systems To One EMR 10/29/2026

   Blessing Health’s research director built a department from scratch in 2020, then led its move off a fragmented legacy EMR onto Epic.

4. Overcome The 6 Most Common Hurdles To Turning Wearable Data Into Usable RWE 10/27/2026

   Wearable data is easy to collect but difficult to turn into trusted RWE. Explore six fixes for the most common data problems when using wearables in research.

5. How HEOR Teams Build Evidence That Sticks 10/26/2026

   RWE is only as powerful as the discipline behind it. Inside the evidence standards that regulators, payers, and clinicians can actually trust.

6. The Hidden Costs Of Clinical Trial Technology Nobody Budgets For 10/22/2026

   A health economics researcher explains why purchase price is the smallest number in a clinical trial technology decision and what gets left off the budget.

7. What South Africa's Trial Sites Teach Global Clinical Research 10/22/2026

   A physician who ran trials in Johannesburg and rural Mafikeng compares South Africa’s clinical research infrastructure to the UK’s and explains what each gets wrong.

8. The Infrastructure Behind Virtua Health's Push Toward 1.5 Million Studies A Year 10/19/2026

   How Virtua Health is rebuilding its imaging infrastructure – cloud migration, Epic integration, and vendor security gaps – to keep pace with volume.

9. A Framework For Deploying AI In Clinical Trials Without The Hype 10/15/2026

   Sandboxing, demonstrated value, and a hard line at clinical judgment: a physician-researcher’s three-question test before AI touches a trial.

10. Why Younger Clinical Researchers Are More Wary Of AI Than Their Elders 10/15/2026

    A generational reversal in technology adoption, and why it’s a change-management problem clinical research leaders need to plan for now.