Managing and analyzing massive amounts of data from multiple sources is one of the most pressing challenges faced by clinical…
Artificial intelligence (AI) is transforming the clinical research landscape. It is being used to optimize how data is collected, organized…
Delays in study start-up and database go-live can create significant challenges in clinical trials. First off, delays cost money – …
In our last blog, we brought up the topic of vaporware in clinical research data management. Clinical trials require a…
It is not hyperbole to say that data is transforming clinical research at a breakneck pace. The critical need to…
Clinical trial data is evolving – with broader and more diverse sources than ever. This requires new software applications to…
How does your direct data capture (DDC) strategy fit with your electronic data capture (EDC) system? According to a recent…
The landscape of clinical research is undergoing a rapid digital transformation. Data can be collected in ways not imagined just…
The tools and technologies we rely on to capture and manage clinical trial data are evolving at a rapid pace….
How easy to use is your eClinical software for front-end users (participants and site team members) and for back-end users who build and manage the studies? Let’s break down the reasons why this is such an important consideration in this blog post.