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The Future of Wearable Technology in Clinical Trials
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…
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How EDC Software Minimizes Bias in Clinical Trials
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…
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TrialKit AI: Revolutionizing Clinical Research Analytics with AI
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…
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From Data Capture to Clinical Intelligence: How AI Is Expanding EDC in Clinical Trials
Electronic data capture (EDC) has traditionally occupied a clearly defined place in the clinical trial lifecycle. Once a protocol is designed and a study database is built, the EDC becomes the environment where clinical data is collected, reviewed, queried, and prepared for analysis. Artificial intelligence is beginning to expand that role. Rather than applying AI…
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From Imaging to Analysis: 5 Steps for Success with TrialKit PACS
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.…
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Maximizing Site Performance: The Hidden Benefits of Unified eConsent and EDC
Let’s be real: managing clinical trials is tough enough without juggling multiple disconnected systems. Yet for many research teams, that’s exactly what happens when they’re forced to use one platform for electronic consent (eConsent) and another for electronic data capture (EDC). The lack of interoperability between these (and other) tools creates extra work, opens the…
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The Digital Teammate: How AI is Changing How Clinical Research Teams Work
A protocol may define how a clinical study should operate, but turning those requirements into a working study still requires extensive configuration, testing, and refinement. AI embedded within the eClinical platform can help teams move through that work more efficiently by translating requirements into study components, testing how those components behave, and making study data…
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From Data Silos to Connected Intelligence: How AI Is Unifying Clinical Research Data
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…
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From Study Design to Submission: The Role of AI Throughout the Clinical Research Journey
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…
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Simplifying ePRO Data Collection: The Benefits of BYOD with TrialKit
The Challenge of Device Provisioning in Clinical Trials In clinical trials, gathering timely and accurate data from patients is essential for assessing the efficacy and safety of treatments. However, traditional methods of electronic data collection like electronic patient-reported outcomes (ePRO), can pose challenges when trying to ensure that patients are entering their data correctly. This…
