Lo Yu-Sheng, Lee Wen-Sen, Chen Guo-Bin, Liu Chien-Tsai
Graduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan.
Division of Internal Medicine, Department of Infection Control, Wan Fang Hospital, Taipei Medical University, Taipei, Taiwan; Department of Internal Medicine, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan.
Comput Methods Programs Biomed. 2014 Nov;117(2):351-9. doi: 10.1016/j.cmpb.2014.07.006. Epub 2014 Aug 11.
In this study, we developed an integrated hospital-associated urinary tract infection (HAUTI) surveillance information system (called iHAUTISIS) based on existing electronic medical records (EMR) systems for improving the work efficiency of infection control professionals (ICPs) in a 730-bed, tertiary-care teaching hospital in Taiwan. The iHAUTISIS can automatically collect data relevant to HAUTI surveillance from the different EMR systems, and provides a visualization dashboard that helps ICPs make better surveillance plans and facilitates their surveillance work. In order to measure the system performance, we also created a generic model for comparing the ICPs' work efficiency when using existing electronic culture-based surveillance information system (eCBSIS) and iHAUTISIS, respectively. This model can demonstrate a patient's state (unsuspected, suspected, and confirmed) and corresponding time spent on surveillance tasks performed by ICPs for the patient in that state. The study results showed that the iHAUTISIS performed better than the eCBSIS in terms of ICPs' time cost. It reduced the time by 73.27 s, when using iHAUTISIS (114.26 s) and eCBSIS (187.53 s), for each patient on average. With increased adoption of EMR systems, the development of the integrated HAI surveillance information systems would be more and more cost-effective. Moreover, the iHAUTISIS adopted web-based technology that enables ICPs to online access patient's surveillance information using laptops or mobile devices. Therefore, our system can further facilitate the HAI surveillance and reduce ICPs' surveillance workloads.
在本研究中,我们基于现有的电子病历(EMR)系统,开发了一个综合医院相关尿路感染(HAUTI)监测信息系统(称为iHAUTISIS),以提高台湾一家拥有730张床位的三级教学医院感染控制专业人员(ICP)的工作效率。iHAUTISIS可以自动从不同的EMR系统收集与HAUTI监测相关的数据,并提供一个可视化仪表板,帮助ICP制定更好的监测计划并促进他们的监测工作。为了衡量系统性能,我们还创建了一个通用模型,用于比较ICP分别使用现有的基于电子培养的监测信息系统(eCBSIS)和iHAUTISIS时的工作效率。该模型可以展示患者的状态(未怀疑、怀疑和确诊)以及ICP在该状态下为患者执行监测任务所花费的相应时间。研究结果表明,在ICP的时间成本方面,iHAUTISIS比eCBSIS表现更好。平均而言,对于每位患者,使用iHAUTISIS(114.26秒)和eCBSIS(187.53秒)时分别减少了73.27秒的时间。随着EMR系统的采用增加,综合医院获得性感染监测信息系统的开发将越来越具有成本效益。此外,iHAUTISIS采用基于网络的技术,使ICP能够使用笔记本电脑或移动设备在线访问患者的监测信息。因此,我们的系统可以进一步促进医院获得性感染监测并减轻ICP的监测工作量。