药物警戒
背景(考古学)
自动化
医学
质量(理念)
风险分析(工程)
数据科学
知识管理
计算机科学
药品
药理学
工程类
机械工程
古生物学
哲学
认识论
生物
作者
Francesco Salvo,Joëlle Micallef,Amir Lahouegue,Laurent Chouchana,Louis Létinier,Jean‐Luc Faillie,Alexandre Pariente
标识
DOI:10.1080/14740338.2023.2227091
摘要
Introduction Artificial intelligence (AI) based tools offer new opportunities for pharmacovigilance (PV) activities. Nevertheless, their contribution to PV needs to be tailored to preserve and strengthen medical and pharmacological expertise in drug safety.Areas covered This work aims to describe PV tasks in which the contribution of AI and intelligent automation (IA) tools is required, in the context of a continuous increase of spontaneous reporting cases and regulatory tasks. A narrative review with expert selection of pertinent references was performed through Medline. Two areas were covered, management of spontaneous reporting cases and signal detection.Perspective The use of AI and IA tools will assist a large spectrum of PV activities, both in public and private PV systems, in particular for tasks of low added value (e.g. initial quality check, verification of essential regulatory information, search for duplicates). Testing, validating, and integrating these tools in the PV routine are the actual challenges for modern PV systems, to guarantee high-quality standards in terms of case management and signal detection.
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