Pharmacovigilance Copy

Keeping patients safe – globally

Pain Points

Case volumes growing exponentially

Multiple languages

Effort and cost intensive

Highly manual process

Heterogeneous input

Traditional methods are slow

Regulatory filing deadlines (fines)

Delays to market equates to lost revenue

Case Intake Workflow

  • Case Initiation Phase: Use of file handlers and optical character recognition to get text into machine-readable format.
  • Translation Phase: Deploy bespoke Neural MT to homogenize reports into English to enable rapid processing.
  • Allocation & Triage, Case Entry, Data Entry Phases: Various AI, machine learning and NLP methods are used to automate document classification, detect specific entities, extract information for case generation and summarisation.

Iconic’s Features

Neural Machine Translation


Read More


Read More


Read More

Iconic’s bespoke Neural Machine Translation solution for pharmacovigilance integrates directly into the case intake workflow, to more effectively process multilingual information, thereby allowing for the rapid processing of large volumes of foreign language adverse event reports.

Iconic’s automation solution is not just for translation; throughout the case intake workflow there are many processes that can be accelerated with automation. Iconic’s custom built solution dramatically reduces the time it takes to report on adverse events. Plain and simple.

The role of Neural MT in the Life Sciences Sector Video

In this video Iconic’s Global Head of Enterprise Sales, Diane O’Reilly,  shares some specific examples of natural language processing innovation by the life sciences industry.

Contact us  to get in touch today for more information on how Iconic’s machine translation solutions can benefit your business. We look forward to hearing from you.