Electronic Health Record Use, Work Environments & Patient Outcomes
电子健康记录的使用、工作环境
基本信息
- 批准号:9034256
- 负责人:
- 金额:$ 15.31万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2016
- 资助国家:美国
- 起止时间:2016-09-01 至 2018-08-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
DESCRIPTION (provided by applicant): The tremendous promise of electronic health records (EHR) to improve the quality and safety of healthcare has gone unrealized. Hospitalized patients- particularly those admitted for general surgical procedures- continue to face increased risk of adverse outcomes, including death, complications, readmissions and substandard care. One potential reason that EHR adoption has not resulted in widespread improvements in care is that administrators lack critical evidence regarding the context in which these technology systems function best. Organizational theory literature suggests that institutional characteristics such as managerial support and organizational climate are essential to the successful implementation of innovations, such as technology. Yet, there has been little to no attention in the empirical healthcare literature given to whether the relationship between EHR use and clinical patient outcomes in hospitals is conditional on the broader work environment, particularly of nurses- the largest group of direct care providers and EHR users in hospitals. This application uses nurses' reports to measure features of the work environment related to nurses' engagement in the organization and resource adequacy, in addition to staffing levels and evaluations of EHR effectiveness. The study aims to determine not only whether EHR adoption is related to better patient outcomes, but also whether EHR effectiveness hinges upon having an organizational structure that supports professional nursing practice. We expect to find that patients treated in hospitals with better environments and better staffing will have greater EHR use, more positive evaluations of EHR effectiveness, and better patient outcomes. We also expect that more pronounced changes in the breadth and depth of EHR use will produce greater improvements in patient outcomes, and that both changes may be conditional on nurse work environments and nurse staffing. The full advantage of EHR technology may be best realized in hospitals where nurses are supported in their practice, are involved in institutional decision-making regarding delivery of patient care, and have adequate staffing support. Guided by sociotechnical systems theory, this study of hundreds of hospitals in 4 large U.S. states will employ both cross-sectional and longitudinal panel methods using unique nurse survey data collected before and after implementation of EHR legislation linked with the American Hospital Association Annual Survey Information Technology (IT) Supplement, and administrative patient discharge data from over 2 million surgical patients collected in 2006/2007 and 2015. Patient outcomes that will be examined include: 30-day mortality, failure-to-rescue, readmission, and AHRQ patient safety indicators. Given the rapid diffusion of IT, our findings could improve successful implementation of EHR systems. This study is a critical step towards a more comprehensive understanding of the conditions under which EHR systems function best in their intended purpose of facilitating evidence-based care and improving care coordination and communication between patients, families, and providers.
描述(由申请人提供):电子健康记录(EHR)在提高医疗保健质量和安全性方面的巨大承诺尚未实现。住院病人-特别是那些接受普通外科手术的病人-继续面临增加的不良后果风险,包括死亡、并发症、再次入院和不合格的护理。采用EHR并没有导致护理的广泛改善的一个潜在原因是,管理员缺乏关于这些技术系统最佳运行环境的关键证据。组织理论文献表明,管理支持和组织氛围等制度特征对于成功实施技术等创新至关重要。然而,在实证医疗文献中,很少有人关注医院中EHR使用与临床患者结局之间的关系是否取决于更广泛的工作环境,特别是护士-医院中最大的直接护理提供者和EHR用户群体。该应用程序使用护士的报告来衡量与护士在组织中的参与和资源充足性相关的工作环境的特征,以及人员配备水平和EHR有效性的评估。这项研究的目的不仅是确定EHR的采用是否与更好的患者结局有关,而且还确定EHR的有效性是否取决于支持专业护理实践的组织结构。我们希望发现,在环境更好、人员配备更好的医院接受治疗的患者,将有更多的EHR使用,对EHR有效性的评价更积极,患者的治疗效果也更好。我们还预计,EHR使用的广度和深度的更明显变化将使患者的预后得到更大的改善,这两种变化可能取决于护士的工作环境和护士的人员配备。EHR技术的充分优势可能在医院中得到最好的实现,护士在实践中得到支持,参与有关患者护理的机构决策,并有足够的人员支持。在社会技术系统理论的指导下,这项对美国4个大州数百家医院的研究将采用横截面和纵向面板方法,使用与美国医院协会年度调查信息技术(IT)补充有关的EHR立法实施前后收集的独特护士调查数据,以及2006/2007年和2015年收集的200多万手术患者的行政患者出院数据。将检查的患者结局包括:30天死亡率、抢救失败、再入院和AHRQ患者安全性指标。鉴于IT的快速传播,我们的研究结果可以改善EHR系统的成功实施。这项研究是更全面地了解EHR系统在其预期目的中发挥最佳作用的条件的关键一步,这些预期目的是促进循证护理,改善患者,家庭和提供者之间的护理协调和沟通。
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)
数据更新时间:{{ journalArticles.updateTime }}
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
Ann Kutney Lee其他文献
Ann Kutney Lee的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('Ann Kutney Lee', 18)}}的其他基金
Investigating Multi-Level Determinants of Racial/Ethnic Disparities in Quality of End-of-Life Care for Veterans
调查退伍军人临终护理质量中种族/民族差异的多层次决定因素
- 批准号:
10186509 - 财政年份:2018
- 资助金额:
$ 15.31万 - 项目类别:
Investigating Multi-Level Determinants of Racial/Ethnic Disparities in Quality of End-of-Life Care for Veterans
调查退伍军人临终护理质量中种族/民族差异的多层次决定因素
- 批准号:
9669895 - 财政年份:2018
- 资助金额:
$ 15.31万 - 项目类别:
Changes in Hospital Care Organization and Outcomes
医院护理组织和结果的变化
- 批准号:
7937763 - 财政年份:2009
- 资助金额:
$ 15.31万 - 项目类别:
Changes in Hospital Care Organization and Outcomes
医院护理组织和结果的变化
- 批准号:
7786386 - 财政年份:2009
- 资助金额:
$ 15.31万 - 项目类别:
Changes in Hospital Care Organization and Outcomes
医院护理组织和结果的变化
- 批准号:
8107526 - 财政年份:2009
- 资助金额:
$ 15.31万 - 项目类别:
相似国自然基金
重大传染病防治关键技术研究-重大传染病防治关键技术研究-基于One Health的SFTS防治技术体系构建与应用
- 批准号:2025C02186
- 批准年份:2025
- 资助金额:0.0 万元
- 项目类别:省市级项目
人兽共患病One Health防控决策路径研究
- 批准号:
- 批准年份:2024
- 资助金额:5.0 万元
- 项目类别:省市级项目
基于 One Health 策略的 mcr 阳性多重耐药
ST34 型沙门菌的流行传播机制及溯源研究
- 批准号:Y24H190002
- 批准年份:2024
- 资助金额:0.0 万元
- 项目类别:省市级项目
基于One Health理念的人兽共患病防控决策机制及实施路径研究
- 批准号:
- 批准年份:2022
- 资助金额:30 万元
- 项目类别:青年科学基金项目
One Health 导向下人畜共患病公共危机四维防控体系研究
- 批准号:2019JJ50277
- 批准年份:2019
- 资助金额:0.0 万元
- 项目类别:省市级项目
基于时间序列Shapelets的u-Health心电图可解释早期分类研究
- 批准号:61702468
- 批准年份:2017
- 资助金额:24.0 万元
- 项目类别:青年科学基金项目
基于One Health理念建立动物职业暴露人群流感监测体系的研究
- 批准号:81473034
- 批准年份:2014
- 资助金额:60.0 万元
- 项目类别:面上项目
基于广义Health-Jarrow-Morton模型的固定收益证券定价方法研究
- 批准号:70771075
- 批准年份:2007
- 资助金额:20.0 万元
- 项目类别:面上项目
相似海外基金
Developing Real-world Understanding of Medical Music therapy using the Electronic Health Record (DRUMMER)
使用电子健康记录 (DRUMMER) 培养对医学音乐治疗的真实理解
- 批准号:
10748859 - 财政年份:2024
- 资助金额:
$ 15.31万 - 项目类别:
Evaluation of the Caring Letters Suicide Prevention Intervention after Removal of an Electronic Health Record Flag for Suicide Risk: An Effectiveness-Implementation Hybrid Type 2 Trial
移除电子健康记录自杀风险标记后关怀信自杀预防干预的评估:有效性-实施混合 2 型试验
- 批准号:
10753299 - 财政年份:2023
- 资助金额:
$ 15.31万 - 项目类别:
Predicting firearm suicide in military veterans outside the VA health system using linked civilian electronic health record data
使用链接的民用电子健康记录数据预测退伍军人管理局卫生系统外退伍军人的枪支自杀
- 批准号:
10655968 - 财政年份:2023
- 资助金额:
$ 15.31万 - 项目类别:
Leveraging the Electronic Health Record and Integrating Social and Biological Data to Expand Dementia Research in Understudied Populations in Los Angeles County
利用电子健康记录并整合社会和生物数据,扩大洛杉矶县未受研究人群的痴呆症研究
- 批准号:
10729950 - 财政年份:2023
- 资助金额:
$ 15.31万 - 项目类别:
Enhancing sociodemographic data in a province-wide electronic health record
增强全省电子健康记录中的社会人口统计数据
- 批准号:
494408 - 财政年份:2023
- 资助金额:
$ 15.31万 - 项目类别:
Operating Grants
Development of a predictive model and electronic health record-based probability scoring system and dashboard for postoperative respiratory failure
开发术后呼吸衰竭的预测模型和基于电子健康记录的概率评分系统和仪表板
- 批准号:
10643357 - 财政年份:2023
- 资助金额:
$ 15.31万 - 项目类别:
Optimizing Employee Well-being and Retention during Electronic Health Record Modernization
在电子健康记录现代化过程中优化员工福祉和保留率
- 批准号:
10537213 - 财政年份:2023
- 资助金额:
$ 15.31万 - 项目类别:
Machine learning-based methods for phenotyping dementia patients from electronic health record data
基于机器学习的方法,根据电子健康记录数据对痴呆症患者进行表型分析
- 批准号:
10720916 - 财政年份:2023
- 资助金额:
$ 15.31万 - 项目类别:
Demonstrating the potential for electronic health record interoperability to improve patient safety research of older adults over the acute episode of care.
展示电子健康记录互操作性的潜力,以改善老年人急性护理期间的患者安全研究。
- 批准号:
10728699 - 财政年份:2023
- 资助金额:
$ 15.31万 - 项目类别:
Improving the Detection of Hypertrophic Cardiomyopathy Using Machine Learning Applied to Electronic Health Record Data
利用机器学习应用于电子健康记录数据来改善肥厚型心肌病的检测
- 批准号:
10740278 - 财政年份:2023
- 资助金额:
$ 15.31万 - 项目类别:














{{item.name}}会员




