The 12th Asian Conference on Pharmacoepidemiology (ACPE) has been successfully held from October 11st to 13rd, 2019 in Kyoto, Japan. More than 600 representatives from 33 countries and regions participated in the meeting. The arrangement of this conference mainly included: education session program, contributed papers report, symposium and poster presentation, which provided good opportunity for participants to communicate. Moreover, it promoted the dissemination and utilization of advanced methods and technologies of global pharmacoepidemiology, especially in Asia region, and provided technical support in order to ensure the safety and efficacy of public. Moreover, it was the first time that the symposium on herbal and Traditional Medicines has been set up in the ACPE. This paper introduced the main details of the contents
近十年，在药品不良反应监测领域，基于医疗保健数据库的安全信号检测方法受到越来越多的关注，已成为弥补自发报告固有局限性的重要手段。目前数据挖掘方法主要基于比值失衡分析法（disproportionality analysis）、传统药物流行病学设计（如自身对照设计）、序列对称分析（sequence symmetry analysis，SSA）、序贯统计检验（sequential statistical testing）、时序关联规则（temporal association rules）、监督机器学习（supervised machine learning，SML）、树状扫描统计量方法（tree-based scan statistic）等。本文从应用场景和实用性角度对医疗保健数据库中安全信号检测方法及其性能进行介绍。