While many sites have not yet transitioned away from the traditional paper-based source model for data, electronic source may represent an efficient systematic alternative to this traditional method.
Transformation in the life sciences sector are being driven by the adoption of artificial intelligence, machine learning, and natural language processing, and by the exploitation of “big data” sources in new and powerful ways.
Regulatory bodies have recently published recommendations that aim to facilitate the conduct of decentralized trails while safeguarding participants and the data collected.
For years, the clinical data manager’s role has been an invisible, quiet, back office one, separated from colleagues in clinical operations and other departments. It is time for a change.
Just because you are not hearing about a problem in the clinical trial continuum doesn’t mean that people are fine with the status quo—they just don’t know any better.