Discover how shadow AI appears in clinical trial technology and learn how to develop a practical control plan that protects participants and data without slowing innovation.
- The Integration Dilemma: Who Decides Which Tech Stack Wins?
- Why Clinical Trial Sites Are Drowning In Tech Chaos
- The Risks And Unresolved Rules Of Real-Time Clinical Trials
- What Real-Time Clinical Trials Demand From Your Tech Stack
- The FDA's RTCT Push: What It Is; Why It Matters
- Pharma's Digital Transformation: Where It's Really At
- How AI Is Changing Clinical Trial Design, Not Just Speed
- What Is Clinical Trials Day? Why Technology Helps Research Rise
ARTICLES, APP NOTES, CASE STUDIES, & WHITE PAPERS
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Navigating The eCOA Vendor Landscape In 2025
This guide offers a clear-eyed perspective on the current eCOA landscape, providing sponsors with actionable guidance to make confident, informed vendor choices.
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How Long Is Your RTSM Risk Mitigation List?
While RTSM systems help reduce many of the risks in clinical trials, each trial’s unique setup necessitates a risk analysis to identify trial-specific challenges.
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Letter From The CEO: A New Era Of Drug Development Is Here
This letter from Medable CEO Michelle Longmire lays out why we created Studio, what it enables sponsors and CROs to do, and how it will help everyone bring more effective therapies to patients faster.
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Why Open API Architecture Matters In Clinical Research
Clinical trials need flexible workflows, but layered integrations add complexity. Open APIs enable real-time data exchange so processes adapt without fragile dependencies or added overhead.
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eTMFs Uncovered: 5 Costly Misconceptions To Avoid
Critically examine prevalent myths surrounding electronic Trial Master Files (eTMFs) and their integration with electronic Investigator Site Files (eISFs).
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Focusing On Patient-Reported Outcome Measures And eConsent
Learn how digital solutions can contribute to a more participant-centered approach and potentially enhance the regulatory utility of PRO data while improving the overall quality and efficiency of oncology trials.
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Mitigating Study Risk With Performance Analytics
Performance metrics for supporting risk-based management can be great, however, this author tells readers why collecting and analyzing data after a study has begun may not be the best approach.
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The Power Of Adaptive Learning
Delve into the details of this approach to training, which addresses common complaints, and how it holds promise for enhancing the efficiency and performance of clinical research staff.
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Clinical Data Modernization: A 2026 Starter Guide
Clinical data modernization replaces outdated systems with integrated cloud solutions, improving data quality, accelerating insights, and streamlining workflows for more efficient trials.
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Modern Decentralized Trials Demand Advanced eClinical Support
First-generation eClinical systems can create as many challenges as they resolve. A more coherent solution is necessary to ensure data integrity, ease site burdens, and promote greater patient-centricity.
RECENT NEWSLETTERS
- 06.25.26 -- How AI, Data, And Workflows Are Fixing Trial Execution
- 06.18.26 -- AI, eSource, And Site Tech: What's Actually Working In Trials
- 06.11.26 -- AI Governance, Site Tech Risk, And Trial Efficiency Gains
- 06.06.26 -- Best Of May: AI Risk, CRO Strategy, And Trial Cost Control
- 06.04.26 -- Why Clinical Execution — Not Tech — Is Trials' Biggest Risk