The global movement toward structured data submissions, such as IDMP, is founded on Regulatory data. This critical data currently exists in documents used for Regulatory submissions and supporting document collections.
Locating, accessing, extracting, and using the data has traditionally been a manual effort that is both time consuming, resource intensive, costly and prone to error. Therefore, NNIT has developed Aura-X, a powerful artificial intelligence (AI) driven solution, to increase speed, accuracy, efficiency, and cost-effectiveness across the R&D organization.
The large global pharmaceutical company, Boehringer Ingelheim is today using Aura-X to quickly and efficiently extract critical data from unstructured documents based on pre-defined business rules and controlled vocabularies.
We are therefore excited to have Dr. Joerg Stueben, Head of Regulatory Information Management and Senior Expert from Boehringer Ingelheim, joining us and presenting the use case and benefits that this solution has brought to them.
Key takeaways
In this webinar we will cover:
1) Aura-X at Boehringer Ingelheim
2) IDMP Data Collection made easy
3) Aura-X as an integrated part to your labeling and RA Processes
