
What Are Wearables and How Are They Used in Clinical Trials? Wearable technology is transforming clinical trials by making it easier than ever to collect real-time health data from participants. These devices—ranging from fitness trackers and smartwatches to advanced biosensors—give researchers continuous, objective insights into a patient’s health without requiring frequent site visits or self-reported…

The Impact of Bias on Clinical Trials and Patient Safety Bias, despite best efforts and best intentions, continues to impact clinical research. There’s the so-called “sponsorship effect,” where, in a recent study, psychiatric drugs were reported to be about 50% more effective in trials that were funded by the drug’s manufacturer. It may be natural…
December 9, 2024 — Crucial Data Solutions is proud to announce that our groundbreaking innovation, TrialKit AI, has been recognized with the 2024 SCDM Innovation in Health Technology Solutions Award, selected by a distinguished jury of industry leaders. This accolade celebrates our commitment to advancing clinical research through transformative technology. The Evolution of Analytics in Clinical…

For years, electronic data capture (EDC) systems have been the backbone of clinical trials, efficiently collecting and managing study data. But the role of EDC systems is evolving. In today’s fast-paced research landscape, EDC platforms are no longer just repositories for data—they’re becoming dynamic clinical intelligence hubs that drive smarter, faster decisions. Thanks to advancements…

When it comes to managing imaging data in clinical trials, researchers find many challenges. Disjointed systems that don’t talk to each other, manual data transfers that invite errors, and time lost navigating segmented workflows. Integrating imaging data with electronic data capture (EDC) systems has traditionally been a headache, with limited interoperability and inefficiencies slowing progress.…

In clinical research, the advent of artificial intelligence (AI) is transforming the way study teams approach their work. AI is no longer just a tool for data processing or analysis; it’s a true “digital colleague”—a virtual teammate with unmatched expertise and efficiency that can complement and inform human intuition and problem-solving. This blend of human…

Clinical research has never generated more information than it does today. Modern studies routinely combine electronic data capture (EDC), laboratory results, imaging, electronic clinical outcome assessments (eCOA), wearable devices, remote monitoring technologies, and an expanding array of digital health tools. Each source contributes valuable information, but the growing diversity of data has also introduced new…

Artificial intelligence has become one of the defining technologies in clinical research, but much of the conversation has focused on isolated applications. Organizations have explored AI for automating documentation, accelerating reporting, or assisting with data analysis after studies are underway. While those capabilities can certainly improve efficiency, they represent only a portion of what purpose-built…

Clinical trial delays cost everyone. They cost sponsors in the traditional, dollars-and-cents way. However, they also cost patients and their loved ones when they are forced to wait for life-changing therapies. For many, the wait is just too long. In modern clinical trials, there is no longer any excuse for delays that occur between the…