Newsletter | October 8, 2026

10.08.26 -- AI, RTSM, And Trial Systems Are Still Breaking Down

WHERE AI AND INTEROPERABILITY STILL BREAK DOWN

Why AI Cannot Fix Broken Decentralized Trial Data

By John Oncea, Chief Editor, Clinical Tech Leader

An RF and semiconductor engineer explains why AI cannot overcome hardware and connectivity errors, and which questions teams should ask before scaling.

Why Trial Systems Still Fail To Connect Across Studies

By John Oncea, Chief Editor, Clinical Tech Leader

Technology is not the main interoperability barrier. Learn how misaligned economics discourage systems from connecting across clinical trials.

EXECUTION, ARCHITECTURE, AND THE NEW TRIAL BOTTLENECKS

Why RTSM Architecture Matters Long After Go-Live

By Endpoint Clinical

Configuration-driven RTSM helps teams manage protocol amendments, reduce operational burden, and maintain control as trials change after go-live.

Why Protocols Fail When Trial Execution Lacks Structure

By Abraham Gutman, AG Mednet

A digitized execution layer turns passive operations into coordinated action, embedding compliance, enabling AI, and freeing teams for critical decisions.

How IRT Supports Treatment Changes In Master Protocols

By Almac Clinical Technologies

A flexible IRT system helps teams manage treatment ratios, eligibility, site readiness, and protocol amendments without disrupting randomized trials.

Ten Vendor Management Rules That Protect Trial Delivery

By Kalyan Obalampalli, ClinAI

Use 10 core governance principles to track trends, reward transparency, escalate issues early, and build stronger long-term vendor relationships.

TOOLS FOR FASTER, MORE ADAPTABLE TRIAL OPERATIONS

How AI Improves Clinical Trial Timelines And Decisions

Crucial Data Solutions