Identifying and Synchronizing Health Information Technology(HIT)Events from FDA Medical Device Reports

摘要：

　　Health information technology(HIT)events,a subtype of patient safety events,pose a major threat and barrier toward a safer healthcare system.It is crucial to gain a better understanding of the nature of the errors and adverse events caused by current HIT systems.The scarcity of HIT eventexclusive databases and event reporting systems indicates the challenge of identifying the HIT events from existing resources.FDA Manufacturer and User Facility Device Experience(MAUDE)database is a potential resource for HIT events.However,the low proportion and the rapid evolvement of HITrelated events present challenges for distinguishing them from other equipment failures and hazards.We proposed a strategy to identify and synchronize HIT events from MAUDE by using a filter based on structured features and classifiers based on unstructured features.The strategy will help us develop and grow an HIT event-exclusive database,keeping pace with updates to MAUDE toward shared learning.

关键词： Patient Safety Medical Errors Information Storage and Retrieval

作者: Hong Kang Frank Wang Sicheng Zhou Qi Miao Yang Gong

作者单位: School of Biomedical Informatics,The University of Texas Health Science Center at Houston,Houston,TX College of Natural Sciences,The University of Texas at Austin,Austin,TX,USA School of Public Health,The University of Texas Health Science Center at Houston,Houston,TX,USA

会议类型: 国际会议

会议名称: 第十六届世界医药健康信息学大会((MEDINFO2017)、第二届世界医药健康信息学华语论坛(WCHIS 2017)、第15届全国医药信息学大会(CMIA 2017)

会议地点: 苏州

会议语种:英文

页码: 1048-1052

在线出版日期: 2017-08-21（万方平台首次上网日期，不代表论文的发表时间）