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Standards of Excellence: Finalists Papers from the Student Paper Competition: Weaning Patients From Mechanical Ventilation: A Knowledge-Based System Approach

机译:卓越标准:学生论文竞赛的入围论文:机械通气的断奶患者:基于知识的系统方法

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摘要

The WEANing PROtocol (WEANPRO) knowledge-based system assists respiratory therapists and nurses in weaning post-operative cardiovascular patients from mechanical ventilation in the intensive care unit. The knowledge contained in WEANPRO is represented by rules and is implemented in M.1® by Teknowledge, Inc. WEANPRO will run on any IBM® compatible microcomputer.WEANPRO's performance in weaning patients in the intensive care unit was evaluated three ways: (1) a statistical comparison between the mean number of arterial blood gases required to wean patients to a T-piece with and without the use of WEANPRO, (2) a critique of the suggestions offered by the system by clinicians not involved in the system development, and (3) an inspection of the user's acceptance of WEANPRO in the intensive care unit. The results of the evaluations revealed that using WEANPRO significantly decreases the number of arterial blood gas analyses needed to wean patients from total dependance on mechanical ventilation to independent breathing using a T-piece. In doing so, WEANPRO's suggestions are accurate and its use is accepted by the clinicians. Currently, WEANPRO is being used in the intensive care unit at the East Unit of Baptist Memorial Hospital in Memphis, Tennessee.
机译:基于WEANing协议(WEANPRO)的知识系统可帮助呼吸治疗师和护士为重症监护室的术后心血管疾病患者戒断机械通气。 WEANPRO中包含的知识由规则表示,并由Teknowledge,Inc.在M.1®中实施。WEANPRO将在任何与IBM®兼容的微型计算机上运行。WEANPRO在重症监护室中的断奶患者中的表现通过三种方式进行评估:(1)在使用和不使用WEANPRO的情况下,使患者断奶至T型件所需的平均动脉血气数量之间的统计比较;(2)对不参与系统开发的临床医生对系统提供的建议的批评;以及(3)检查用户在重症监护室对WEANPRO的接受程度。评估结果表明,使用WEANPRO可以大大减少使患者断奶所需的动脉血气分析次数,从完全依赖机械通气到使用T型件进行独立呼吸。这样,WEANPRO的建议是准确的,其使用已为临床医生所接受。目前,WEANPRO正在田纳西州孟菲斯浸信会纪念医院东区的重症监护室使用。

著录项

  • 期刊名称 AMIA Annual Symposium Proceedings
  • 作者

    David A. Tong;

  • 作者单位
  • 年(卷),期 1990(79–85),-1
  • 年度 1990
  • 页码 79–85
  • 总页数 7
  • 原文格式 PDF
  • 正文语种
  • 中图分类
  • 关键词

  • 入库时间 2022-08-17 16:20:55

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