
How does your direct data capture (DDC) strategy fit with your electronic data capture (EDC) system? According to a recent industry survey, 26 percent of the EDC users surveyed cited direct data integration as a significant unmet need. It is likely that your approach to DDC is evolving. After all, there are new ways to…

In clinical research, innovations in technology are moving us down an exciting path, transforming traditional methodologies and paving the way for more efficient, accurate, and patient-focused trials. Software platforms are helping us manage clinical study data more efficiently while decentralized clinical trial (DCT) elements are expanding access to clinical research as a care option for…

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…

Non-interventional clinical studies, such as post-marketing, longitudinal, and observational studies, are extremely important for advancing our understanding of healthcare outcomes, treatment effectiveness, and patient safety over extended periods. These trials are different from investigational studies and our approaches to data collection, management and analysis require flexible mindsets. Using technologies that are just as flexible to…

The tools and technologies we rely on to capture and manage clinical trial data are evolving at a rapid pace. As the complexity of clinical trials increases, with a greater emphasis on patient-centrism, real-world evidence, and multi-modal data integration, the limitations of legacy electronic data capture (EDC) systems are becoming increasingly apparent. These systems, once…

Clinical trial data is coming from more places than ever. It can be collected directly from patients via native and web applications, pulled from wearable sensors, or gathered from electronic health records (EHR) databases. The kinds of data that can impact clinical research are limited only by researchers’ imagination. Today, an increasing number of study…

Clinical trial imaging is different. There is a lot of variability involved with data collection. For studies engaging multiple sites, it is unlikely that each site will have the exact same imaging equipment. Imaging technicians may also perform their jobs differently, leading to slight variations in the imaging data. The variability can become compounded when…

The growth of decentralized clinical trial (DCT) strategies may be happening slower than many expected, but it is definitely happening. Every day, research teams are discovering the value of technologies and approaches that allow patients to participate in studies from wherever they live. Remote data collection, including eConsent, ePRO (electronic patient reported outcome reports), virtual…

Decentralized clinical trials (DCTs) are growing. We may not be seeing the deep and widespread adoption of decentralized approaches some predicted following the COVID-19 pandemic, but as time goes by, more and more researchers are finding the value of things like remote data collection and video visits. It has become cliche to say that people…

The clinical research industry is currently dealing with a great deal of uncertainty, with various solutions providers announcing layoffs often. This trend has, understandably, led to concerns among many in the research space regarding the stability and reliability of their research partners and the impact of this instability on both current and future trials. Understanding…