eICU研究:概念验证

A. Dhakal, B. Dhakal, L. Pathak, Shadi Marina, V. Vijayaraghavan
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引用次数: 10

摘要

作者的目的是研究eICU(电子ICU)作为一种辅助远程重症监护方案对改善临床结果的影响。本实验旨在确定eICU方案效果评估前后的临床有效性。本研究的背景是美国一家拥有375张床位的大型教学社区医院的两个成人重症监护室。本研究是在某教学医院开展eICU后,由一组住院医师进行的,目的是研究对部分选定参数的影响。2006年6月至2008年6月期间,共有2537例患者入住ICU(实施eICU前1310例,实施eICU后1227例)。eICU项目利用重症监护医师和其他医疗保健提供者从远程位置进行24x7的补充监测和管理。配套软件和基于计算机的决策支持工具可用。结果是研究和比较实施eICU前后的跌倒率、死亡率、蓝码发生率和住院时间。结果中所研究的参数无统计学差异,与前人研究结果相反。蓝码发生率(39 vs. 54, P值0.36)、住院时间(3.0 vs. 3.1 P值0.36)、死亡率(77 vs. 90 P值0.28)和跌倒发生率(0 vs. 1 P值0.28)在实施eICU前后均无改善。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
eICU STUDY: A Proof of Concept
The authors' objective is to study the effect of eICU (electronic ICU) as a supplementary remote intensive care program on improvement in clinical outcomes. The experiment is designed to determine the clinical usefulness before and after evaluation of the effects of eICU program. The setting is two adult ICU of a large 375 bed teaching community hospital in US. The study was undertaken by group of resident physicians after eICU was started to study the impact on few selected parameters in a teaching hospital. A total of 2537Patients admitted to ICU between June 2006 to June 2008 (n= 1310 before and n= 1227 after implementation of the eICU) The eICU Program used intensivists and other healthcare providers to give 24x7 supplemental monitoring and management from a remote location. Supporting software and computer based decision support tool were available. The outcome is to study and compare rate of falls, mortalities, incidence of code blues and length of stay between the two periods before and after the implementation of eICU. In the results no statistical difference was observed in the studied parameters thus showing contrary results to other previous studies. The incidence of code blue (39 vs. 54 with P value of 0.36), length of stay (3.0 vs. 3.1 P value 0.36), mortality rates (77 vs. 90 P value 0.28) and incidence of fall (0 vs. 1 P value 0.28) all show no improve outcomes before and after the implementation of eICU.
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