@Article{信息:doi 10.2196 / / jmir。4304，作者=“Lardon, J{\'e} my和Abdellaoui, Redhouane和Bellet, Florelle和Asfari, Hadyl和Souvignet, Julien和Texier, Nathalie和Jaulent, Marie-Christine和Beyens, Marie-No{\ 'e} le和Burgun, Anita和Bousquet, C{\'e}dric”，标题=“社交媒体中的药物不良反应识别和提取:范围综述”，期刊=“J Med Internet Res”，年=“2015”，月=“7”，日=“10”，卷=“17”，数=“7”，页=“e171”，关键词=“药物警报;药物不良反应;互联网;Web 2.0;社交媒体;文本挖掘;范围审查;背景:传统报告渠道对药物不良反应(adr)的漏报是当前药物警戒体系效率的一个限制。患者在社交媒体上报告的用药经历代表了一种新的数据来源，可能对上市后的安全监测有一定价值。 Objective: A scoping review was undertaken to explore the breadth of evidence about the use of social media as a new source of knowledge for pharmacovigilance. Methods: Daubt et al's recommendations for scoping reviews were followed. The research questions were as follows: How can social media be used as a data source for postmarketing drug surveillance? What are the available methods for extracting data? What are the different ways to use these data? We queried PubMed, Embase, and Google Scholar to extract relevant articles that were published before June 2014 and with no lower date limit. Two pairs of reviewers independently screened the selected studies and proposed two themes of review: manual ADR identification (theme 1) and automated ADR extraction from social media (theme 2). Descriptive characteristics were collected from the publications to create a database for themes 1 and 2. Results: Of the 1032 citations from PubMed and Embase, 11 were relevant to the research question. An additional 13 citations were added after further research on the Internet and in reference lists. Themes 1 and 2 explored 11 and 13 articles, respectively. Ways of approaching the use of social media as a pharmacovigilance data source were identified. Conclusions: This scoping review noted multiple methods for identifying target data, extracting them, and evaluating the quality of medical information from social media. It also showed some remaining gaps in the field. Studies related to the identification theme usually failed to accurately assess the completeness, quality, and reliability of the data that were analyzed from social media. Regarding extraction, no study proposed a generic approach to easily adding a new site or data source. Additional studies are required to precisely determine the role of social media in the pharmacovigilance system. ", issn="1438-8871", doi="10.2196/jmir.4304", url="//www.mybigtv.com/2015/7/e171/", url="https://doi.org/10.2196/jmir.4304", url="http://www.ncbi.nlm.nih.gov/pubmed/26163365" }