Reflections on the World Drug Safety Congress – Europe

Drug Safety

Reflections on the World Drug Safety Congress – Europe

Iconic’s team recently attended the World Drug Safety Congress – Europe, which was hosted as a virtual event. One theme that stood out throughout the conference was that Automation, including Artificial Intelligence (AI) and Natural Language Processing (NLP), is transforming pharmacovigilance (PV). It is clear that the amount of data involved in PV is increasing exponentially. The volume of FDA Adverse Events reporting has risen from 200,000 cases in 2000 to over 2 million cases in 2019; a ten-fold increase. It is no longer feasible to accurately handle all of this information without the adoption of AI and NLP to automate processing.

Some of the key challenges faced in PV include a growing amount of adverse event reports – due to a higher number of products in development and on the market – along with increasing regulatory requirements, and stringent deadlines. The sector is also feeling the impact of the explosion of multilingual content, whether driven by multilingual and international clinical research, multilingual consumer data, or Global regulatory requirements.

Iconic has extensive experience with AI-based neural machine translation technology (automated translation software). We have been at the forefront of developments in this technology and have created bespoke solutions for Pharma, MedTech and CRO organisations.

Iconic’s AI-driven machine translation can be used to generate both critical time- and cost- savings by automating the translation of multilingual adverse events in the case intake process. Another major driver is the ability to scale up, and process the rising volumes of foreign language data, allowing clients to speed up turn-around times and meet strict submission deadlines.

Other use-cases for machine translation include: chemical information, safety data, regulatory submissions, clinical data, protocol and ethics documentation, to name a few.

The landscape is changing for Pharmacovigilance. With automation, including AI and NLP, being stepped up, people are able to spend more time on analytic tasks. There will be an increasing focus on real-time detection of relevant safety signals. These changes will ultimately improve the industry’s ability to protect the health and well-being of patients – leveraging the power of these cutting-edge technologies.

You can contact us here if you would like to learn more about Iconic’s secure automated translation solutions for pharmacovigilance.