Every clinical trial generates abundant amounts of data like
patient reports, medical history, age, gender, consent forms, laboratory notes,
trial design, dose regimen, transcriptions copies, and much more. With such immense
of data, and each piece being so important, it is highly crucial for all this
data to be completely organized. Databases that are specially designed for the
particular set of trials are used to achieve this.
The data is entered into the database and stored in a rows
and columns format, after which it is checked for any discrepancies, which are
then corrected. This data is then analyzed using statistical analysis methods
before being presented to the concerned authorities. This entire process of data
collection, integration, and validation is collectively known as clinical data
management; and the person responsible to execute this role is known as
clinical data manager.