Decentralized Trial Technology Insights

1. Why Patients Drop Out And How To Stop Them 4/8/2026

   From scheduling friction to silent financial stress, patient dropout derails trials. Here’s what’s causing it and the tech helping sites fight back.

2. Predictive Analytics Is Reshaping How Sponsors Run Clinical Trials 4/6/2026

   Predictive analytics is transforming clinical trial operations, from enrollment forecasting to risk-based monitoring. Here’s what sponsors need to know.

3. AI In Clinical Trials: Real Impact, Real Limits, What's Next 4/2/2026

   Claude’s ClinicalTrials.gov connector changes how sponsors access trial data, but does it change outcomes? A recruitment expert weighs in on impact and what’s still missing.

4. AI And Clinical Trial Recruitment: Can It Fix The Funnel? 3/26/2026

   Anthropic’s ClinicalTrials.gov connector gives Claude real-time access to trial data. But can conversational AI actually improve patient recruitment strategy?

5. Edge AI Is Reshaping How Clinical Trials Run 3/12/2026

   Edge computing and AI are transforming clinical trials – enabling real time monitoring, decentralized research, and faster, more cost-effective drug development.

6. Telehealth In Clinical Trials: What Sites And Patients Think 3/4/2026

   Sites and patients have complicated views on telehealth in trials. Here’s what the evidence shows about who benefits, who bears the burden, and where the limits are.

7. Telehealth In Clinical Trials: What You Need To Know 2/26/2026

   Telehealth is a tool, not a trial design. Learn how televisits, ePRO, and remote monitoring fit into traditional, hybrid, and decentralized clinical trials.

8. Enabling Cloud Computing In DCTs For Remote Data Capture, Monitoring, And More (Part 1) 2/25/2026

   Understand why cloud infrastructure is foundational to hybrid and decentralized trials and what critical trial activities it enables with reduced operational friction.

9. Safe And Sustainable DCTs and Hybrid Trials (Part 2) 2/25/2026

   In part two of this series, learn practical cloud architectural patterns, governance structures, and operating mechanisms that allow sponsors to run hybrid and decentralized trials.

10. Forget More Clinical Tech, We Need More Adoption 2/23/2026

    At SCOPE Summit, Craig Lipset shared a blunt assessment of clinical trial innovation: the tools exist, regulators are engaged, and digital approaches offer clear quality advantages — yet adoption remains the industry’s biggest hurdle. From evolving FDA inspection expectations to the normalization (and lingering misconceptions) of decentralized trials, Lipset argues progress will depend less on new technology and more on scaling what already works.