All Sessions | Master Data Management: CDI - Sponsored by - Global IDs

 

2:15 - 2:45 Kathleen MangoldHrishikesh Mokashi

 

CASE STUDY: MDM Activities for Clinical Studies

 

Kathleen Mangold
Director - Data Quality Standards, Johnson & Johnson

Hrishikesh Mokashi
Team Leader, Tata Consultancy Services

 

Session Description

Clinical Studies and associated processes generate substantial data sets which contain critical information for the study. When data for multiple clinical studies are collated and analyzed, it provides the "key" information attributes which are required to develop the most promising permutation of processes and methodologies for positive and desired results.  For this methodology to work, however, it is essential that the data sets that are "analyzed".  Specifically, data sets for Clinical Studies must be accurate, standardized, and available as per requirement.  This session will offer best practices broadly applicable across many industries while at the same time providing sufficient detail for pharma/life sciences attendees by discussing topics and sharing specific examples such as:

  • Understanding utilitarian advantages of systems development in Life Sciences
  • Focusing on the force-multiplier effect of retaining and developing MDM
  • Leveraging key instances of specific advantages incurred 

 

 


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