Using Military & Aviation Simulation Experience to Impr*

使用军事

基本信息

项目摘要

DESCRIPTION (provided by the applicant): Labor and delivery units are high-risk, high-cost environments in which decisions, mistakes, and delays can have tragic consequences. In our nation's rural hospitals, staff must possess the skills and resources needed to manage obstetric emergencies despite the infrequency of these events. The goal of this project is to bring simulation technology and team performance training, proven in aviation, the military, anesthesia, and other limited areas of medicine, to improve the process of obstetric care and promote safety in rural communities. More than 75 infants die each day in the United States. JCAHO estimates that 2/3 of cases of neonatal death or permanent disability during childbirth are attributable to human factors such as communication errors and almost half due to issues of staff competency. Rural hospitals with limited resources and few providers face considerable challenges in providing emergency obstetric services as required by the Emergency Medical Treatment and Labor Act (EMTALA). This demanding structure requiring nurses and support staff to maintain skill levels and clinical competency in obstetrics despite limited hands-on experience, offers the ideal setting to improve safety through obstetric team simulations. Crew resource management (CRM) (AHRQ Evidence Report number 43, Chapter 44) and medical simulations (AHRQ Evidence Report number 43, Chapter 45), have been recommended by the IOM, JCAHO, and AHRQ as safe practice interventions to reduce errors and risks associated with the process of care. This proposal combines crew resource management and simulation expertise from NASA and the U.S. military, educational and research expertise from academia, and the safety focus of all three to bring simulations where they are desperately needed: to the frontline of clinical care in rural America. Specifically, we aim to test whether simulation of obstetric emergencies and team performance training (CRM) will improve the process of care and patient safety in rural hospital settings through the following AIMS: I. Develop and test standardized Curricula for simulated Obstetric emergency Response Drills & Safety-CORDS II. Implement and evaluate CORDS in rural settings III. Explore the ability of IT to create a statewide safety culture and to expand the reach of simulations. The results of this project will: 1) provide a toolkit that can be used across the country to improve the process of care and promote safety, 2) demonstrate how to use IT and simulated education to support a statewide safety culture and 3) model how to utilize and evaluate the effectiveness of simulations to maintain technical skill levels and enhance the process of care and safety in rural healthcare systems.
描述(由申请人提供):人工和交货单位是高风险,高成本的环境,在这些环境中,决策,错误和延迟可能会带来悲惨的后果。在我们国家的乡村医院中,尽管这些事件的频率不足,但工作人员必须拥有管理产科紧急情况所需的技能和资源。该项目的目的是携带模拟技术和团队绩效培训,即在航空,军事,麻醉和其他有限的医学领域,以改善产科护理的过程并促进农村社区的安全。 在美国,每天有75名婴儿死亡。 JCAHO估计,分娩期间新生儿死亡或永久残疾病例的2/3归因于人为因素,例如沟通错误,几乎是由于员工能力问题而导致的一半。资源有限的农村医院在按照《紧急医疗和劳工法》(EMTALA)要求提供紧急产科服务方面面临巨大挑战。这种苛刻的结构要求护士和支持员工,尽管手上经验有限,但仍需要护士和支持人员在产科中保持技能水平和临床能力,这为通过产科团队模拟提供了理想的环境来提高安全性。机组人员资源管理(CRM)(AHRQ证据报告编号43,第44章)和医疗模拟(AHRQ证据报告编号43,第45章)已由IOM,JCAHO和AHRQ推荐,作为减少与护理过程相关的错误和风险的安全实践干预措施。该提案结合了NASA和美国军方,学术界的教育和研究专业知识的工作人员资源管理和模拟专业知识,以及所有三者的安全重点,以将模拟迫切需要:到美国农村临床护理的前线。具体而言,我们旨在测试对产科紧急情况和团队绩效培训(CRM)的模拟是否会通过以下目的改善农村医院环境中的护理和患者安全过程: I.开发和测试用于模拟产科应急训练和安全性的标准化课程 ii。在农村环境中实施和评估绳索 iii。探索它创建全州安全文化并扩大模拟范围的能力。 该项目的结果将:1)提供一个可以在全国范围内使用的工具包来改善护理和促进安全过程,2)演示如何使用它并模拟教育来支持全州安全文化,3)模型如何利用和评估模拟的有效性,以维持技术技能水平并增强农村医疗保健系统的护理和安全性。

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

暂无数据

数据更新时间:2024-06-01

JEANNE-MARIE GUIS...的其他基金

Using Machine Learning to find a life saving needle in a haystack of children's emergencies
利用机器学习在儿童紧急情况的大海捞针中找到救生针
  • 批准号:
    10341239
    10341239
  • 财政年份:
    2022
  • 资助金额:
    $ 24万
    $ 24万
  • 项目类别:
Using Machine Learning to find a life saving needle in a haystack of children's emergencies
利用机器学习在儿童紧急情况的大海捞针中找到救生针
  • 批准号:
    10815094
    10815094
  • 财政年份:
    2022
  • 资助金额:
    $ 24万
    $ 24万
  • 项目类别:
NW Center of Excellence & K12 in Patient Centered Learning Health Systems Science
西北卓越中心
  • 批准号:
    9788226
    9788226
  • 财政年份:
    2018
  • 资助金额:
    $ 24万
    $ 24万
  • 项目类别:
Reducing Disparities for Children in Rural Emergency Resuscitation (RESCU-ER)
减少农村紧急复苏中儿童的差距 (RESCU-ER)
  • 批准号:
    10585863
    10585863
  • 财政年份:
    2018
  • 资助金额:
    $ 24万
    $ 24万
  • 项目类别:
NW Center of Excellence & K12 in Patient Centered Learning Health Systems Science
西北卓越中心
  • 批准号:
    10015294
    10015294
  • 财政年份:
    2018
  • 资助金额:
    $ 24万
    $ 24万
  • 项目类别:
Oregon Patient Centered Outcomes Research K12 Program
俄勒冈州以患者为中心的结果研究 K12 计划
  • 批准号:
    8846577
    8846577
  • 财政年份:
    2014
  • 资助金额:
    $ 24万
    $ 24万
  • 项目类别:
Simulation to address gender-based differences in leadership, teamwork, and safety
通过模拟解决领导力、团队合作和安全方面的性别差异
  • 批准号:
    8930123
    8930123
  • 财政年份:
    2014
  • 资助金额:
    $ 24万
    $ 24万
  • 项目类别:
Simulation to address gender-based differences in leadership, teamwork, and safety
通过模拟解决领导力、团队合作和安全方面的性别差异
  • 批准号:
    9139880
    9139880
  • 财政年份:
    2014
  • 资助金额:
    $ 24万
    $ 24万
  • 项目类别:
Oregon Patient Centered Outcomes Research K12 Program
俄勒冈州以患者为中心的结果研究 K12 计划
  • 批准号:
    8701865
    8701865
  • 财政年份:
    2014
  • 资助金额:
    $ 24万
    $ 24万
  • 项目类别:
Epidemiology of Preventable Safety Events in Prehospital EMS for Children
儿童院前急救中可预防安全事件的流行病学
  • 批准号:
    8121589
    8121589
  • 财政年份:
    2010
  • 资助金额:
    $ 24万
    $ 24万
  • 项目类别:

相似国自然基金

基于计算机模拟和实验研究探索定向控制酶解改善大豆7S球蛋白乳化性能的作用机理
  • 批准号:
    32372271
  • 批准年份:
    2023
  • 资助金额:
    50 万元
  • 项目类别:
    面上项目
壳聚糖作为难溶性抗癌药物递送材料的计算机模拟和分子设计研究
  • 批准号:
    22378090
  • 批准年份:
    2023
  • 资助金额:
    50 万元
  • 项目类别:
    面上项目
不同拓扑结构的半刚性聚电解质在离子溶液中的构象和动力学行为的计算机模拟
  • 批准号:
    22363005
  • 批准年份:
    2023
  • 资助金额:
    32 万元
  • 项目类别:
    地区科学基金项目
空间与实验室等离子体中的磁重联:计算机模拟与唯象模型
  • 批准号:
    42261134533
  • 批准年份:
    2022
  • 资助金额:
    105.00 万元
  • 项目类别:
    国际(地区)合作与交流项目
高浓电解质体系的理论与计算机模拟研究
  • 批准号:
  • 批准年份:
    2022
  • 资助金额:
    54 万元
  • 项目类别:
    面上项目

相似海外基金

Cancer Emulation Analysis with Deep Neural Network
使用深度神经网络进行癌症仿真分析
  • 批准号:
    10725293
    10725293
  • 财政年份:
    2023
  • 资助金额:
    $ 24万
    $ 24万
  • 项目类别:
Deep Learning-based Emulation Analysis: Methodological Developments and Case Studies
基于深度学习的仿真分析:方法发展和案例研究
  • 批准号:
    10515491
    10515491
  • 财政年份:
    2022
  • 资助金额:
    $ 24万
    $ 24万
  • 项目类别:
Deep Learning-based Emulation Analysis: Methodological Developments and Case Studies
基于深度学习的仿真分析:方法发展和案例研究
  • 批准号:
    10676303
    10676303
  • 财政年份:
    2022
  • 资助金额:
    $ 24万
    $ 24万
  • 项目类别:
CRCNS-US-German research collaboration on functional neuro-poroelastography
CRCNS-美国-德国功能性神经孔隙弹性成像研究合作
  • 批准号:
    8837214
    8837214
  • 财政年份:
    2014
  • 资助金额:
    $ 24万
    $ 24万
  • 项目类别:
Evaluating a Self-Care Innovation for Older Adults using Agent-Based Modeling
使用基于代理的建模评估老年人的自我护理创新
  • 批准号:
    8748691
    8748691
  • 财政年份:
    2014
  • 资助金额:
    $ 24万
    $ 24万
  • 项目类别: