Orion & Associates Ltd

Info@orionandassociates.uk

Tel: 02380 970246  07593 142689

 

Clinical Data Conversion (CDISC):

simpler, scalable conversion

 

4 of the Top 5 Pharma Companies Use Tamr

 

Tamr’s CDISC solution offers a dramatically simpler and scalable way to automatically convert, validate, and package clinical study data in file formats organized according to the latest CDISC standards.  By understanding SAS input and output formats, in addition to controlled terminologies, Tamr combines machine learning and human guidance to automatically convert your clinical trial dataset to a specific standard.  For most pharmaceutical companies, submitting clinical study data to the FDA is an expensive and time-consuming process.  A study sponsor must collect data from different sources, extract it from proprietary file formats, transform it to conform to CDISC standards, organize metadata describing these transformations, execute validation scripts to ensure data consistency, and convert it all into the file formats required by the FDA for submission.

Typically, the arduous task of aggregating, transforming and validating this data falls to teams of contractors or employees using proprietary software and guided by complex conversion standards. When standards are updated or if a submission contains an error, the entire conversion must be restarted.

Tamr’s CDISC solutions offers a dramatically simpler and scalable way to automatically convert, validate, and package clinical study data in file formats organized according to the latest CDISC standards.  By understanding SAS input and output formats, in addition to controlled terminologies, Tamr combines machine learning and human guidance to automatically convert your clinical trial dataset to a specific standard.

Benefits:

  • Automatically convert data from the most popular proprietary formats

  • Machine learning + human guidance maps study data to a target CDISC standard

  • Programmatically engage people who generated the data to answer questions

Forbes Article - "Biting The Data Management Bullet At GlaxoSmithKline"