Clinical data comes from various sources and can appear in different formats: various (e)CRF systems, external vendor data, questionnaires, etc. This wide variation in data formats makes it hard to define, validate and implement standard rules for data cleaning and reconciliation.
Using SDTM datasets for data cleaning when a study is conducted allows us to create a library of standard electronic rules that can be configured without the need for programming by a clinical data manager. In this webinar, we will explain the workflow for selecting backend standard rules from the library and configuring them for a specific clinical study. We will end with the process for creating new study specific rules and potentially including them in the overall library.
- Challenges when cleaning data
- All2One tool
- Selecting backend rules
- Creating new rules
- Past advancements and outlook
Glenn Borgmans, Clinical Data Manager, SGS
Glenn obtained a PhD in Biology from the University of Antwerp in 2019. Shortly after, he entered the field of clinical research and started working as a Clinical Data Manager at SGS, where he has been working now for the past year in our early phase data management team.
To find out more, contact us today.
t: +32 15 27 32 45