When implementing the first generation of eSource system at SGS, the focus was on facilitating data capture and converting clinical data directly to a Study Data Tabulation Model (SDTM), making eCRF redundant.
After getting familiar with eSource, we are now ready to use our knowledge and expertise and take eSource clinical automation to the next level with the second generation of eSource system.
This paper will highlight our acquired insights and challenges faced from both systems, resulting in improved efficiencies. The focus on standardized data and the use of code lists to convert easily to SDTM are key for efficiencies. With a proper test environment setup in the second eSource system, it is now possible for data management to enter dummy data, making it easier to set up SDTM conversion. Data visualization and accessibility have improved significantly, and the new query management seems to allow for shorter data cleaning-timelines.
