Validation of Artificial Intelligence to Support the Automatic Coding of Patient Adverse Drug Reaction Reports, Using Nationwide Pharmacovigilance Data.

Guillaume L MartinJulien JouganousRomain SavidanAxel BellecClément GoehrsMehdi BenkebilGhada MiremontJoëlle MicallefFrancesco SalvoAntoine ParienteLouis Letiniernull null

Published in: Drug safety (2022)

Our artificial intelligence models showed promising performance to automatically code patient adverse drug reaction reports, with very similar results across approaches. Our system has been deployed by national health authorities in France since January 2021 to facilitate pharmacovigilance of COVID-19 vaccines. Further studies will be needed to validate the performance of the tool in real-life settings.

Keyphrases

electron transfer
adverse drug
artificial intelligence
big data
machine learning
deep learning
electronic health record
case report
emergency department
coronavirus disease
sars cov
drug induced
respiratory syndrome coronavirus
neural network