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Smarter Clinical Trials for CNS and Pain with AI Analytics
Clinical trials in pain and neurological research have historically faced steep hurdles: lengthy timelines, high costs, and subjective data endpoints that often obscure true efficacy. With only around 15% of central nervous system (CNS) drugs successfully moving from Phase 1 to approval, researchers clearly need more reliable tools. Artificial intelligence (AI) analytics has emerged as…
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Ensuring Regulatory Compliance When Using Wearables in Clinical Trials
Regulatory Risks of Wearables in Clinical Trials Are Real (and Avoidable) Wearables have become indispensable in modern clinical trials, tracking vital signs, capturing real-world evidence, and improving patient engagement from anywhere. But as their use increases, so do the regulatory risks. While wearable devices open the door to faster, more patient-centric research, they also introduce…
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The Future of Remote Patient Monitoring in Decentralized Clinical Trials
The Evolution of Remote Patient Monitoring in Clinical Trials Remote patient monitoring (RPM) has come a long way from the early days of paper-based symptom diaries and intermittent in-clinic assessments. Traditional monitoring approaches placed a heavy burden on both patients and research sites, requiring frequent visits, manual data entry, and limited insight into patient health…
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How Wearable Devices Improve Patient Engagement in Clinical Trials
Why Wearable Tech Is Changing Clinical Trials Wearable devices are doing more than counting steps—they’re redefining how clinical trials are conducted and how participants engage. In the era of decentralized and hybrid clinical trials, wearables like fitness trackers, smartwatches, and medical-grade sensors are becoming essential tools for improving patient engagement and retention. These devices allow…
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BYOD Clinical Trials: How They Transform Decentralized Data Capture
What Is BYOD in Clinical Trials? Bring Your Own Device (BYOD) is changing the way clinical trials collect and manage data. Instead of requiring participants to use study-provided devices, BYOD allows them to use their own smartphones, tablets, or computers to enter data—making the process more convenient and intuitive. Traditionally, clinical trials relied on provisioning…
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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…
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Accelerate Your Study Starts – How to Avoid Database Go-Live Delays with TrialKit’s EDC System
Delays in study start-up and database go-live can create significant challenges in clinical trials. First off, delays cost money – as much as $500,000 per day according to a recent study from the Tufts Center for the Study of Drug Development (Tufts CSDD). Utilizing the right tools within an electronic data capture system like TrialKit…
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Avoiding Clinical Data Vaporware – Even More Questions to Ask eClinical Software Providers
In our last blog, we brought up the topic of vaporware in clinical research data management. Clinical trials require a lot of tech to collect, manage, and analyze data, and there are so many providers putting out claims about what their products can do. Certainly, we’ve all been in positions where a potential vendor seems…
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Build Better Studies Faster: 3 Advantages of Mobile eClinical Platforms
The landscape of clinical research is undergoing a rapid digital transformation. Data can be collected in ways not imagined just ten years ago, and technology is now expanding patient access to research, breaking down geographic barriers, moving beyond wholly site-based studies to decentralized clinical trials (DCTs), and reshaping what modern trials look like. Clinical trial…
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The Future is Now: Trends in Clinical Trials Brought to Reality
The trends infiltrating the clinical research industry – wearable integrations, mobile apps, machine learning, and more – aren’t just exciting concepts. They’re made possible and are now being used in studies with today’s technology.
