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Automating your Post Market Surveillance with artificial intelligence

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Automating your Post Market Surveillance with artificial intelligence

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In this webinar, you will learn how medtech and pharma companies are automating the most tedious parts of their literature-related Post Market Surveillance, PM Analysis and Pharmacovigilance.

PMS is for many medical companies required, essential and highly regulated – but rarely value-creating. It is tedious, time-consuming, repetitive and systematic – which is bad news for the highly skilled and educated people performing the work. However, the good news is that this also means it lends itself very well to automation.

In this webinar, we will walk you through:

  • the functionality of a variety of PMS modules all designed to simplify, speed up and partially automate the search, categorization, classification, extraction of data, and summarization needed for PMS literature reviews.
  • the complex technology required to perform these tasks but also to be trained specifically for the specific domain it is being applied to.
  • how the system can be trained on your specific domain.
  • how the PMS modules can be implemented, through demonstrations.
  • explanations of how to evaluate the results of an automation process.

There will be room for questions during the webinar, and all registered participants will receive a recording of the webinar for on-demand viewing.

About the Presenters:

Iris.ai has spent the last five years building an award-winning AI engine for scientific text understanding.

Anita Schjøll Brede is the CEO of Iris.ai, as well as Faculty in Artificial Intelligence at Singularity University.

More interested in the specific topic on Data Extraction? Join our webinar on March 11th instead - or as well!

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