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How EDC Software Improves Patient Safety
The Link Between EDC and Patient Safety The shared commitment among researchers and healthcare providers to patient safety influences every aspect of study design and execution. The adoption of Electronic Data Capture (EDC) systems has always been driven by the need to enhance patient safety through improving data accuracy, reducing errors, and facilitating real-time monitoring.…
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Beyond Data Collection: How Modern EDC Systems Are Becoming Clinical Intelligence Hubs
For years, electronic data capture (EDC) systems have been the backbone of clinical trials, efficiently collecting and managing study data. But the role of EDC systems is evolving. In today’s fast-paced research landscape, EDC platforms are no longer just repositories for data—they’re becoming dynamic clinical intelligence hubs that drive smarter, faster decisions. Thanks to advancements…
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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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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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Don’t Drown in Data – Clinical Research Data Management Can be Easy, with a Little REST
It is not hyperbole to say that data is transforming clinical research at a breakneck pace. The critical need to integrate multiple data types efficiently and securely arises from this data explosion. eClinical platforms built upon robust RESTful web services infrastructures make these data integrations not only possible, but simple. By leveraging platforms like TrialKit,…
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Say No to Vaporware – 10 Questions to Ask When Looking for an eClinical Platform
Clinical trial data is evolving – with broader and more diverse sources than ever. This requires new software applications to help collect and analyze mountains of information. Selecting the right eClinical platform is crucial for ensuring the efficiency, accuracy, and success of your trials. With numerous options available, it can be daunting to determine which…
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Clinical Trial Data Insights: Integrating Direct Data Capture with EDC Systems
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…
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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…
