Metrics & Benchmarks

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Bringing Together Modern Infrastructure to Meet New FDA Standards
0:51
Bringing Together Modern Infrastructure to Meet New FDA Standards
3 days ago
by
Raj Indupuri(+1 more)
ACT Ops Take: Understanding the FDA's CNPV Program and Review Timelines
1:15
ACT Ops Take: Understanding the FDA's CNPV Program and Review Timelines
7 days ago
by
Andy Studna, Senior Editor
SCOPE X: Is AI Running Clinical Trials Too Far?
0:34
SCOPE X: Is AI Running Clinical Trials Too Far?
11 days ago
by
Abraham Gutman, CEO, AG Mednet(+1 more)
ACT Ops Take: Improving Clinical Development Productivity
1:45
ACT Ops Take: Improving Clinical Development Productivity
16 days ago
by
Andy Studna, Senior Editor
Why I Chose Clinical Trials: A Statistician's Story
0:40
Why I Chose Clinical Trials: A Statistician's Story
23 days ago
by
Sam Hinsley(+1 more)
Embedding Diversity into Clinical Research
0:45
Embedding Diversity into Clinical Research
a month ago
by
Adrelia Allen
A Hidden Cost in Clinical Trials: 20% Wasted on Manual Data?
0:46
A Hidden Cost in Clinical Trials: 20% Wasted on Manual Data?
a month ago
by
Samir Jain
Why AI + Bad Business Processes = Bad Results
0:41
Why AI + Bad Business Processes = Bad Results
a month ago
by
Krishna Cheriath(+1 more)
How Operational Errors Result in Organizational Shortfalls
0:51
How Operational Errors Result in Organizational Shortfalls
2 months ago
by
Mark Freitas(+1 more)
The Secret to Faster Enrollment: ROI Through Community Trust
0:44
The Secret to Faster Enrollment: ROI Through Community Trust
2 months ago
by
Del Smith, PhD(+1 more)

Applied Clinical Trials June 2026

Check out the latest features and columns!

Applied Clinical Trials June 2026

Revenue Recognition Risk in Contract Research Organizations

Managing financial integrity in a complex, milestone-driven operating model.

Revenue Recognition Risk in Contract Research Organizations

When Does Paper Make Sense for Clinical Outcome Assessment Data Collection?

Despite clear data quality and regulatory advantages, paper-based clinical outcome assessments persist due to cost asymmetry, trial complexity, startup timelines, and provider capability gaps.

When Does Paper Make Sense for Clinical Outcome Assessment Data Collection?

Podcasts



All News

Research on clinical-trial design has described AI opportunities across cohort selection, patient stratification, endpoint assessment, and operational planning. Credit: Stock.Adobe.com/NicoElNino.

AI can improve recruitment only when it is embedded in protocol design, EHR-enabled matching, patient engagement, site workflow, and governance. The highest-value near-term use cases are human-in-the-loop decision-support applications with documented context of use, validation, privacy controls, and bias monitoring.

In this Q&A, Abraham Gutman, founder and CEO of AG Mednet, discusses why the clinical trial industry has mastered data capture but never built the execution architecture needed to act on it, how the right infrastructure changes the role of human experts, and why enthusiasm for agentic AI is outrunning what clinical trials can realistically support.

Discover how Quest Diagnostics’ comprehensive lab data can elevate your clinical trials. Our latest white paper, "6 Ways Lab Data Can Improve Clinical Trials," explores the power of real-world data at every stage of the trial process.

As the clinical research landscape evolves, decentralized clinical trials (DCTs) have emerged as a foundational competency, enabling broader patient participation, increasing trial efficiency, and driving more inclusive, real-world data collection. However, the successful execution of DCTs requires more than just innovative technology—it demands a comprehensive strategy that addresses the unique challenges of decentralization.