@Article{信息:doi 10.2196 / / jmir。4163，作者="Pfundner, Alexander and Sch{\"o}nberg, Tobias and Horn, John and Boyce, Richard D and Samwald, Matthias"，标题="利用Wikidata系统提高维基百科中不同语言医学内容的质量:初步研究"，期刊="J Med Internet Res"，年="2015"，月="五月"，日="05"，卷="17"，数="5"，页="e110"，关键词="互联网;维基百科;药品信息服务;语义网络;医学信息学;背景:维基百科是患者和医疗专业人员获取医疗信息的重要来源。鉴于其广泛的覆盖面，提高维基百科上医疗信息的质量、完整性和可访问性可能对全球健康产生积极影响。目的:我们创建了一个自动化系统的原型实现，用于保持维基百科中药物相互作用(DDI)信息的最新临床显著药物相互作用的证据。我们的工作基于Wikidata，这是维基百科目前正在开发的一个新颖的、基于图形的数据库后端。 Methods: We set up an automated process for integrating data from the Office of the National Coordinator for Health Information Technology (ONC) high priority DDI list into Wikidata. We set up exemplary implementations demonstrating how the DDI data we introduced into Wikidata could be displayed in Wikipedia articles in diverse languages. Finally, we conducted a pilot analysis to explore if adding the ONC high priority data would substantially enhance the information currently available on Wikipedia. Results: We derived 1150 unique interactions from the ONC high priority list. Integration of the potential DDI data from Wikidata into Wikipedia articles proved to be straightforward and yielded useful results. We found that even though the majority of current English Wikipedia articles about pharmaceuticals contained sections detailing contraindications, only a small fraction of articles explicitly mentioned interaction partners from the ONC high priority list. For 91.30{\%} (1050/1150) of the interaction pairs we tested, none of the 2 articles corresponding to the interacting substances explicitly mentioned the interaction partner. For 7.21{\%} (83/1150) of the pairs, only 1 of the 2 associated Wikipedia articles mentioned the interaction partner; for only 1.48{\%} (17/1150) of the pairs, both articles contained explicit mentions of the interaction partner. Conclusions: Our prototype demonstrated that automated updating of medical content in Wikipedia through Wikidata is a viable option, albeit further refinements and community-wide consensus building are required before integration into public Wikipedia is possible. A long-term endeavor to improve the medical information in Wikipedia through structured data representation and automated workflows might lead to a significant improvement of the quality of medical information in one of the world's most popular Web resources. ", issn="1438-8871", doi="10.2196/jmir.4163", url="//www.mybigtv.com/2015/5/e110/", url="https://doi.org/10.2196/jmir.4163", url="http://www.ncbi.nlm.nih.gov/pubmed/25944105" }