
The Post-Market Shift: From Sites to Data Streams Phase IV trials used to mean tracking long-term outcomes by continuing to work with the same clinical sites involved in earlier phases. But that model is fading fast. Today, real-world data (RWD) from patients, providers, and everyday devices is transforming how post-approval research is designed and conducted.…

In clinical research, innovations in technology are moving us down an exciting path, transforming traditional methodologies and paving the way for more efficient, accurate, and patient-focused trials. Software platforms are helping us manage clinical study data more efficiently while decentralized clinical trial (DCT) elements are expanding access to clinical research as a care option for…

Non-interventional clinical studies, such as post-marketing, longitudinal, and observational studies, are extremely important for advancing our understanding of healthcare outcomes, treatment effectiveness, and patient safety over extended periods. These trials are different from investigational studies and our approaches to data collection, management and analysis require flexible mindsets. Using technologies that are just as flexible to…

Clinical trial data is coming from more places than ever. It can be collected directly from patients via native and web applications, pulled from wearable sensors, or gathered from electronic health records (EHR) databases. The kinds of data that can impact clinical research are limited only by researchers’ imagination. Today, an increasing number of study…