Newsletter | September 24, 2026

09.24.26 -- AI, Wearables, And CRA Workflows Are Exposing Trial Gaps

EDITOR’S TAKE: THE HIDDEN DATA GAPS IN DECENTRALIZED TRIALS

Did Decentralized Trials Actually Reduce Patient Burden?

Wearables and decentralized technology were meant to reduce patient burden. Learn why outcomes depend on thoughtful study design, not technology alone.

 

Why Wearable Timestamp Drift Can Undermine Trial Data

Timestamp drift between wearable sensors can quietly compromise decentralized trial data. Learn why synchronization must be designed and monitored from the start.

AI, DATA, AND TRIAL DECISIONS UNDER PRESSURE

How Agentic AI Is Changing The CRA Role In Trials

Agentic AI is not replacing CRAs. It can reduce administrative work so CRAs can focus on judgment, site relationships, and trial-critical decisions.

Can AI Reduce Site Burden Without Adding New Risk?

See how AI can process real site documents in real time, reduce manual data-capture work, and reveal where oversight remains essential.

Why Electronic Data Capture Is Not Enough For Trial Execution

Electronic data capture alone does not move trials forward. Learn how decision workflows turn data into coordinated actions and meaningful next steps.

How Drug Price Controls Could Reshape Clinical Innovation

Explore how U.S. drug-pricing policies, including the IRA and international reference pricing, could affect investment, access, and future innovation.

How CRF Validation Prevents Trial Data Errors And Rework

Early CRF planning and balanced edit checks reduce rework, ease site burden, improve data quality, and support more reliable study execution.

Why Therapeutic Expertise Alone No Longer Wins Trials

Vendor selection requires more than indication experience. Learn how adaptability, proactive risk management, and team judgment strengthen trial resilience.

TOOLS FOR SIMPLER PATIENT AND TRIAL EXPERIENCES

One Patient App For Simpler Clinical Trial Participation