CDISC Conversion

Clinical Data Conversion (CDISC): Simpler, scalable conversion

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

read the datasheet Schedule Demo

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.

Webinar: CDISC Conversion

Webinar: CDISC Conversion

Join John Keilty, General Manager at Third Rock Ventures, and Timothy Danford, CDISC Solution Lead for Tamr, as they discuss some of the key challenges in preparing clinical trial data for submission to the FDA. Following the presentation, Timothy will offer a demo of Tamr and how it provides offers a scalable, replicable way to automatically convert, validate, and package clinical study data in file formats organized according to the latest CDISC standards.