Clinical data management is entering a new phase as AI automates EDC build, shortens timelines, and enables data teams to focus on quality.

Healthcare providers receive data from many disparate sources: hospitals, doctors’ offices, labs and lab machines, medical devices, pharmacies, and more. Investment in the correct infrastructure to ...

Research coordinators are critical members of clinical research teams. However, they may come from backgrounds which may not include specific training in healthcare. Their clinical research training ...

Clinical trials are generating more data than ever and researchers need systems capable of recording, storing and managing the additional information, says tech firm Medidata. The Dassault ...

In the early 2000s, Paul Harris, a research informatics faculty member and bioengineer at Vanderbilt University Medical Center, noticed a pressing problem. While working with research teams, he found ...

In today's fast-paced and ever-evolving landscape of clinical trials, the ability to efficiently analyze and visualize data has become paramount. The vast amounts of data generated from these trials ...

It is now a commonplace to propose high-dimensional molecular characterization within the translational research objectives of contemporary clinical trials. Similarly, most of these methods are being ...

Despite rapid growth, only 9.2% of DCTs are multiregional and over 80% single-country, indicating challenges in international implementation. 2 With regulatory agencies 4–7 underscoring risk-based ...