Present-day technological advancements have enabled pharmaceutical organizations and CROs alike to collect data from patients in a multitude of methods and this data is normalized, aggregated, archived in a furthermore variety of systems, formats and such – thereby answering a simple question such as “How can I review all of my subject’s safety data?” a highly difficult and operationally challenging to IT, Programmers and everyone involved in the clinical data management operations.
Clinical trial data is reviewed from the day the data is collected and on an ongoing basis for Safety and Drug Efficacy. Answering the aforementioned question becomes critical for the drug development teams every day. Historically the way this data is facilitated varies from an organization to another – anywhere from a network drive holding some datasets in different source formats (such as Excel, SAS® datasets etc…) to an enterprise-scale clinical data warehouse that can take months if not years to conceptualize and implement.
Regardless of however the data is served to the clinical functional user, the traditional ways of file based network drives and warehouses usually tend to add a data latency in bringing the data to the clinical business users such as Drug Safety, Medical monitors, statisticians and programmers.