Clinical Data Management – the process of collection, cleaning, and management of subject data in compliance with regulatory standards.
Data Management is a very crucial aspect of clinical research, explaining its burst in popularity and the pinned focus by the whole industry, as its proper handling can lead to generation of quality, reliable and statistically sound data from clinical trials, it can boost processes speed, reduce risks, thus reducing costs and optimizing efficiency. After our introductory webinar on the topic and the amazing feedback we got from you, we decided to set up another one, with a more advanced focus on techniques, trends and other tricky and important aspects of Data Management.
Who is this training suitable for?
Quality Assurance specialists
Clinical research specialists
Regulatory Affairs professionals
Students and Academic staff
Full Training Content
Case Report Form (CRF)
Data Management Plan
Data Validation Plan
SEC (Self Evident Correction) and DCF’s
QA Audit and CAPA
Study Close-Out Process
Corporate Solutions and Certification
This training is available as a corporate solution, which allows professionals with administrative functions, such as R&D, Training, QA, Clinical Operation, HR Managers, to manage and monitor the whole learning process/curve: