The traditional methods of clinical data management tend to be disjointed, filled with tedious manual work and prone to human error. Our VP Product Development, Cody Wilke, explains how with the right EDC system, you can collect and access data from any device, any time.
When creating CRFs in a clinical study build, it’s important to ask the right questions, but it is equally important to ask in the right way. Let’s take a closer look at different form fields and how to leverage them to prompt more accurate responses in the data collection process.
On-demand EDC has a number of industry-changing implications. In this post, we take a look at just four benefits of using true on-demand tools in clinical research.
The tech industry is arguably the most rapidly evolving industry today. But when it intersects with the research industry, there is a sudden lag in technological innovation. The TrialKit platform has taken major steps to shift this paradigm in clinical research.
The role of the data manager has experienced an evolution since the early days of paper-based clinical trials. In this post, we take a glimpse into the future to explore what data management will encompass as time goes on.
Sponsor companies needn’t feel restricted to sourcing out their study builds to CROs. Many times, they can accomplish their own builds with the right EDC system – and save considerable resources.
EDC is no exception to the high costs associated with the healthcare industry. And as technology continues to evolve, researchers need an EDC that will keep pace with the rest of their tools. TrialKit is one system that provides an overdue solution to begin attacking unnecessary high costs at their point of origin.
Because it was designed with CRF validation in mind, TrialKit automatically performs and documents all the steps required for CRF validation.
Validation of case report forms is a necessary, but often painful, process. The IQ/OQ/PQ standard, which we explain in this post, is used by most governing bodies, including the FDA.