Newsletter | June 18, 2026

06.18.26 -- AI, eSource, And Site Tech: What's Actually Working In Trials

SPONSOR

SCOPE Europe

Step into the future of clinical operations excellence at CHI’s 9th Annual SCOPE Europe: Powering Clinical Research event. Held at InterContinental Barcelona, 13–14 October 2026, this three-day program features case studies, strategic insights, networking, workshops, seven conferences, and Capital & Innovation programming for senior clinical professionals globally attended. Join 800+ senior executives from 300 organizations across 30 countries to explore clinical trial innovation, planning, and operations excellence leaders worldwide community. SCOPE Europe

KEY TRENDS SHAPING CLINICAL TRIAL TECHNOLOGY

How AI Is Reshaping Trial Design Before Enrollment Begins

By John Oncea, Clinical Tech Leader

AI is moving upstream in trials, helping teams simulate designs, identify risks early, and optimize protocols before enrollment to improve outcomes and reduce costly changes.

Why Sites Are Building Their Own Tech And What It Signals

By John Oncea, Clinical Tech Leader

SCRS explains why sites are adopting bring-your-own-tech to reduce burden, improve workflows, and push back on fragmented systems and what sponsors must change.

PRACTICAL FRAMEWORKS FOR AI AND TRIAL OPERATIONS

Human-in-the-Loop AI: A Practical Framework For Trials

By Donatella Ballerini

A risk-based framework for applying human oversight in AI, defining roles, triggers, and governance to improve validation, compliance, and real-world effectiveness.

PROVEN STRATEGIES IMPROVING TRIAL EXECUTION

Protocol-Driven eSource Solves Data Capture For 80% Of Sites

By Jonathan Andrus, CRIO

Protocol-driven eSource improves data quality and speed by reducing transcription and aligning workflows, enabling faster decisions and stronger site compliance.

Why Most Sites Still Haven’t Digitized (And What Works)

By Florence Healthcare

A simple workflow change can reduce site burden, improve compliance, and free staff time—without major system overhauls or added complexity.

AI-Powered Trial Intelligence For Real-Time Risk Detection

By Crucial Data Solutions

Turn fragmented trial data into real-time insights to detect risks earlier, improve oversight, and support faster, more informed decisions across studies.

Using AI And IRB Data To Improve Study Design Outcomes

By Advarra

Learn how combining AI with IRB and operational data helps optimize protocols, reduce delays, and navigate trial complexity with a structured approach.

4 Ways To Improve Clinical Vendor Management Performance

By Kalyan Obalampalli, ClinAI

A practical framework to strengthen vendor oversight, improve data integrity, control costs, and build more collaborative sponsor–vendor relationships.

A New Model For Faster, Continuous Clinical Development

By Medable

Explore a shift from fragmented processes to continuous development, helping sponsors accelerate timelines from protocol to patient enrollment.

TOOLS AND SOLUTIONS FOR TRIAL EFFICIENCY AND SCALE

eCOA For Global Trials: Flexible, Accurate, Patient-Centered

Almac Clinical Technologies

Clinical Trial Budgeting And Benchmarking That Works

Suvoda

Data Management Without Coordination Bottlenecks

Castor

How to Build Stronger Clinical Trial Partnerships

ISPOR—The Professional Society for Health Economics and Outcomes Research

Inside The Clinical Trials Technology Congress

Clinical Trials Technology Congress