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Automated data collection from mechanical ventilators in the intensive care unit.

机译:从重症监护室的机械呼吸机自动收集数据。

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摘要

Mechanical ventilators measure and display information related to a patient's respiratory function. Respiratory therapists periodically observe variables such as respiratory rate and minute ventilation and record these in the patient's chart. Variation exists in what is recorded, how measurements are obtained, and how frequently charting is performed. Such variation is disturbing because access to accurate and timely data is necessary for optimal patient care, especially when protocols are used to control mechanical ventilation.; Three studies were performed to assess problems associated with manual respiratory care charting and to identify advantages of acquiring ventilator data automatically. Over a 12-month period, data were collected from 678 ventilated patients (1,736 ventilator days) in four intensive care units at LDS Hospital in Salt Lake City, Utah. Approximately every two hours, respiratory therapists recorded ventilator settings, ventilator-measured variables, and other observations using a computer charting application. Data were acquired every five seconds from ventilators using an implementation of the International Organization for Standardization/Institute of Electrical and Electronics Engineers (ISO/IEEE) 11073 Medical Information Bus (MIB). Four hundred sixty-nine of the patients (65%) were enrolled in a computerized ventilator management protocol that used data entered by respiratory therapists to generate patient-specific treatment instructions. Data pertaining to the protocol were also collected.; The first study evaluated the data quality of manually-charted ventilator settings, and assessed the impact of incorrect data on protocol instructions. The study showed that automatic data collection can eliminate charting delays, improve charting efficiency, and reduce errors caused by incorrect data entry, even at institutions where manual charting of ventilator settings is performed well. The objective of the second study was to determine how well manual documentation of physiologic variables represented real-time ventilator data. The mean differences between manual and MIB values were small, but the limits of agreement (mean +/- 2SD) were wide enough to be of clinical importance. The final study used MIB data to identify trends of tachypnea that were not documented in the patient chart, and to determine whether weaning instructions obtained from the computerized protocol would be affected by such trends. The study concluded that tachypneic episodes were frequently not detected or acted upon by clinicians.
机译:机械呼吸机可测量并显示与患者呼吸功能有关的信息。呼吸治疗师定期观察变量,例如呼吸频率和分钟通气量,并将其记录在患者图表中。所记录的内容,如何获得测量值以及执行图表的频率存在差异。这种变化令人不安,因为要获得最佳的患者护理,尤其是在使用协议来控制机械通气时,必须获得准确,及时的数据。进行了三项研究,以评估与手动呼吸护理图表相关的问题,并确定自动获取呼吸机数据的优势。在12个月的时间里,从犹他州盐湖城LDS医院的四个重症监护病房中的678名通气患者(1,736例呼吸机日)收集了数据。大约每两个小时,呼吸治疗师就使用计算机绘图应用程序记录呼吸机设置,呼吸机测量的变量以及其他观察结果。使用国际标准化组织/电气和电子工程师协会(ISO / IEEE)11073医疗信息总线(MIB)的实现,每五秒钟从呼吸机获取一次数据。 469名患者(65%)被纳入计算机呼吸机管理规程,该规程使用呼吸治疗师输入的数据来生成针对患者的治疗说明。还收集了有关该协议的数据。第一项研究评估了手动设置的呼吸机设置的数据质量,并评估了错误数据对协议说明的影响。研究表明,即使在呼吸机设置手动图表执行得很好的机构中,自动数据收集也可以消除制图延迟,提高制图效率并减少由于数据输入错误而导致的错误。第二项研究的目的是确定生理变量的手动记录代表实时呼吸机数据的程度。手动值和MIB值之间的平均差异很小,但是一致性限制(平均值+/- 2SD)足够宽,具有临床重要性。最终研究使用MIB数据来确定患者图表中未记录的呼吸急促趋势,并确定从计算机化方案获得的断奶指令是否会受到此类趋势的影响。该研究得出的结论是,临床医生通常不会发现呼吸急促发作或对其采取行动。

著录项

  • 作者

    Vawdrey, David K.;

  • 作者单位

    The University of Utah.;

  • 授予单位 The University of Utah.;
  • 学科 Engineering Biomedical.; Health Sciences General.; Biology Bioinformatics.
  • 学位 Ph.D.
  • 年度 2007
  • 页码 92 p.
  • 总页数 92
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 生物医学工程;预防医学、卫生学;
  • 关键词

  • 入库时间 2022-08-17 11:39:51

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