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eSource

2026 Predictions for Site-based Clinical Trial Technology

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Clinical research has entered a defining decade. Technology isn’t just supporting trials; it’s reshaping how research is planned, executed, and experienced by every stakeholder involved. For Academic Medical Centers (AMCs), hospitals, health systems, and site networks, 2026 will be about moving from adoption to deeper integration of unified, enterprise-grade eClinical ecosystems that connect every operational workflow. The most successful organizations will be those that connect their technology, people, and processes … Read more

Introducing EDC Connect: The End of Duplicate Data Entry from eSource to EDC in Clinical Trials

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Why manual transcription from eSource to EDC is now the industry’s biggest and most fixable bottleneck.    Clinical trials are entering a new era of technology innovation and adoption. We’ve seen AI-assisted site selection, decentralized models, real-time analytics, and fully digital workflows. Yet one of the most time-consuming, error-prone, and universally hated tasks in research has barely changed at all. Since the day eSource entered … Read more

RealTime Keynote Recap: The Next Chapter of eSource

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Watch the Replay: The RealTime Keynote – The Next Chapter of eSource  Every coordinator knows the drill: collect the data once, type it again, fix the errors, and reconcile the queries. It’s a burden that has never truly been solved – eSource to EDC. And for decades, clinical research has accepted the contradiction of collecting … Read more

Inside the 2025 eSource RealTime Report: Why Manual Data Entry Is Now the Industry’s Weakest Link

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RealTime Reports: Closing the Gap Between eSource Data Capture and Data Flow.  Modern sites are under relentless pressure: more trials, tighter timelines, higher expectations for data integrity, and audit readiness. Traditional paper-based or hybrid workflows simply can’t keep up. Electronic source data capture (eSource) is now rapidly becoming the gold standard for high-performing sites.  In the latest … Read more

Bring Your Own Technology (BYOT): The Future of Site-Led Technology in Clinical Trials

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Clinical research sites are speaking up.  The average site now juggles 22 different technology systems per study, each with its own logins, training, and data pipelines. That kind of overload leads to staff burnout, compliance risk, and redundant workflows that drain time and quality.  But what if the solution isn’t more technology? What if it’s trusting sites to use the … Read more

How to Measure the ROI of eSource: A Real-World Framework

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How to Measure the ROI of eSource: A Real-World Framework

Clinical research sites are constantly balancing time, quality, and cost, often with limited resources and increasing complexity. “How to Measure the ROI of eSource” offers a practical, real-world framework to help you move beyond assumptions and quantify the impact of electronic source data capture in clinical trials. Inside, you’ll find a cost-savings formula, real examples … Read more

How to Build Better eSource: A Masterclass with Shantell Gomez 

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About Shantell Gomez, eSource Build Specialist: Shantell Gomez is an experienced eSource Build Specialist with a background as a Clinical Research Coordinator in ophthalmology. With deep knowledge of site operations and years of hands-on form building across multiple therapeutic areas, she brings strategic insight, precision, and a user-first mindset to every project. Shantell also leads … Read more

A Cost-Benefit Analysis of eSource in Clinical Trials

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As eSource (electronic source) adoption in clinical trials increases, organizations looking to make the switch are also evaluating the cost-effectiveness and benefits of eSource over traditional data collection methods. eSource enables clinical trial sites to capture, manage, and store data digitally, streamlining workflows and enhancing data accuracy. In contrast, traditional data collection methods, including paper … Read more

The FDA’s Draft Guidance for AI in Clinical Trials: Implications for Sites and AMCs

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The FDA’s recently released draft guidance, “Considerations for the Use of Artificial Intelligence to Support Regulatory Decision-Making for Drug and Biological Products,” provides critical insights into how artificial intelligence (AI) can be integrated into clinical trials. This guidance is central to understanding the role of AI in clinical research. It marks a significant step toward … Read more

Regulatory Compliance and eSource: A Guide for Clinical Research Sites

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Regulatory compliance and esource, a guide for clinical research sites, business professional reading on a tablet

In clinical research, electronic source (eSource) systems are transforming how data is collected, managed, and utilized. However, as with any technology used in regulated industries, eSource platforms must comply with stringent regulatory requirements to ensure data integrity, security, and traceability. Two primary regulations governing the use of eSource in clinical trials are FDA 21 CFR … Read more