Resource Center

In our last post​​​​​​​ we said that, while core technologies already exist to...

Article

Reading Time: 3 minutesClinical trials are becoming more complex and a confluence of forces—including greater emphasis on patient experience, increasing protocol complexity, and precise value differentiation—is accelerating this complexity. Trials have evolved to include an ever-expanding array of data sources, increased data volume and precision, decentralized clinical trials (DCT), and adaptive designs. These environmental and industry changes have […]

Article

Reading Time: 4 minutes Clinical trials have evolved rapidly over recent years. They now have highly sophisticated protocols and multiple divergent data sources, inordinate data volume, decentralization, and increasingly complex adaptive designs. These changes have led to significant clinical data management challenges because the data management technologies and processes have not progressed at the same breakneck speed. Clinical data […]

Article

Reading Time: 3 minutesThe rising complexity of clinical trials has created great challenges to their traditional clinical data management process. These challenges present new obstacles to clinical data management, but they also create the opportunity to apply risk-based quality management (RBQM) principles to clinical data management. Risk-based clinical data management (RBDM) has been rapidly expanding over recent years. […]

Article