Clinical Trial Compliance & Operations Tech Articles

1. Inside Virtua Health's Pipeline For Anonymizing Trial Imaging Data 10/5/2026

   How Virtua Health vets, trains, and re-engineers its imaging technology to safely anonymize data for clinical trial research.

    

2. AI Governance Is Becoming A Competitive Edge In Trials 10/1/2026

   Strong data hygiene, formal governance, and human oversight are becoming essential to responsible, scalable AI adoption in clinical trials.

3. From 73% Noncompliant To 2.4%: Building A Compliance Office 9/28/2026

   How one research administrator cut a university's clinical trial disclosure noncompliance from 73% to 2.4% in two years, then built a second office.

4. Token Costs Will Decide Clinical Supply AI 9/21/2026

   AI may make clinical supply forecasting faster, but cheaper tokens can drive higher costs. See how to measure AI at scale before a pilot becomes an expensive surprise.

5. A Framework For Diagnosing Clinical Research Technology Maturity 9/21/2026

   A 30-year clinical research veteran breaks down the four stages of technology maturity and why most organizations misjudge their own.

6. Clinical Research Isn't Even A Recognized Job. That's A Problem. 9/10/2026

   The U.S. doesn’t have an official job code for clinical research professionals. David Vulcano explains why that gap is holding back the workforce.

7. The Data Was Already There: RWE's Real Bottleneck Is People 9/7/2026

   A pharma medical affairs veteran explains why real-world evidence’s biggest constraint isn’t data volume; it’s having enough people to interpret what AI finds.

8. The Real Reason Clinical Trial Systems Don't Talk To Each Other 8/27/2026

   Clinical trial technology isn’t the barrier to interoperability; the economics are. Two industry leaders explain why nothing forces systems to connect.

9. The Vendor Questions Most Clinical Tech Buyers Forget To Ask 8/24/2026

   A practical checklist for evaluating decentralized trial technology vendors, built from an RF engineer’s view of where data quality actually breaks.

10. AI In Clinical Trials: Stop Hyping It, Start Proving It 8/20/2026

    David Vulcano wants clinical research to report AI failures with the same rigor it applies to adverse events. Here’s why that call-to-action matters.