Design a Learning-Oriented Fall Event Reporting System Based on Kirkpatrick Model

摘要：

　　Patient fall has been a severe problem in healthcare facilities around the world due to its prevalence and cost.Routine fall prevention training programs are not as effective as expected.Using event reporting systems is the trend for reducing patient safety events such as falls,although some limitations of the systems exist at current stage.We summarized these limitations through literature review,and developed an improved web-based fall event reporting system.The Kirkpatrick model,widely used in the business area for training program evaluation,has been integrated during the design of our system.Different from traditional event reporting systems that only collect and store the reports,our system automatically annotates and analyzes the reported events,and provides users with timely knowledge support specific to the reported event.The paper illustrates the design of our system and how its features are intended to reduce patient falls by learning from previous errors.

关键词： Incidental Findings Accidental Falls Patient Safety

作者: Sicheng Zhou Hong Kang Yang Gong

作者单位: School of Biomedical Informatics,The University of Texas Health Science Center,Houston,Texas,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: 828-832

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）