
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…
RENO, NV, UNITED STATES, January 8, 2025 /EINPresswire.com/ — Crucial Data Solutions (CDS), a leader in eClinical technology and a pioneer in AI-driven solutions for clinical research, is poised for an exciting year ahead as it celebrates its 15th year in business in 2025. Following a successful 2024, including receiving the prestigious SCDM Innovation in…
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…

Managing and analyzing massive amounts of data from multiple sources is one of the most pressing challenges faced by clinical researchers. As trials become more complex, with increasing use of decentralized (DCT) elements and wearable technologies, the data landscape becomes more fractured. Traditionally, this has resulted in silos that prevent organizations from fully understanding or…

Artificial intelligence (AI) is transforming the clinical research landscape. It is being used to optimize how data is collected, organized and moved through electronic data capture (EDC) platforms. Researchers are increasingly curious about its potential to streamline the entire clinical trial process. From study design to data submission, AI is helping clinical trials become more…