• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>BMC Health Services Research >Characterizing rescue performance in a tertiary care medical center: a systems approach to provide management decision support
【24h】

Characterizing rescue performance in a tertiary care medical center: a systems approach to provide management decision support

机译：在第三节护理医疗中心中救援性能的特征：提供管理决策支持的系统方法

获取原文
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Allocation of limited resources to improve quality, patient safety, and outcomes is a decision-making challenge health care leaders face every day. While much valuable health care management research has concentrated on administrative data analysis, this approach often falls short of providing actionable information essential for effective management of specific system implementations and complex systems. This comprehensive performance analysis of a hospital-wide system illustrates application of various analysis approaches to support understanding specific system behaviors and identify leverage points for improvement. The study focuses on performance of a hospital rescue system supporting early recognition and response to patient deterioration, which is essential to reduce preventable inpatient deaths. Retrospective analysis of tertiary care hospital inpatient and rescue data was conducted using a systems analysis approach to characterize: patient demographics; rescue activation types and locations; temporal patterns of activation; and associations of patient factors, including complications, with post-rescue care disposition and outcomes. Increases in bedside consultations (20% per year) were found with increased rescue activations during periods of resource limitations and changes (e.g., shift changes, weekends). Cardiac arrest, respiratory failure, and sepsis complications present the highest risk for rescue and death. Distributions of incidence of rescue and death by day of patient stay may suggest opportunities for earlier recognition. Specific findings highlight the potential of using rescue-related risk and targeted resource deployment strategies to improve early detection of deterioration. The approach and methods applied can be used by other institutions to understand performance and allow rational incremental improvements to complex care delivery systems.
机译：资源分配有限，以提高质量，患者安全和结果是一项决策挑战，每天都有挑战卫生服务领导者。虽然很多有价值的医疗保健管理研究集中在行政数据分析上，但这种方法往往不足以提供有效管理特定系统实现和复杂系统的可行信息。这种综合性能分析的医院系统的综合性能分析说明了各种分析方法的应用，以支持了解特定的系统行为，并确定改善的利用点。该研究重点介绍了支持早期识别和对患者恶化的应对的医院救援系统的性能，这对于减少可预防的住院死亡是至关重要的。利用系统分析方法表征：患者人口统计学，进行了第三节护理医院住院住院住院住院患者和救援数据的回顾性分析;救援激活类型和位置;时间模式的激活;和患者因素的关联，包括并发症，后抢救护理处理和结果。在资源限制期间增加了床边磋商（每年20％）的增加，并在资源限制和变化期间增加了救援激活（例如，转变变更，周末）。心脏骤停，呼吸衰竭和败血症并发症呈现救助和死亡的最高风险。患者居住日救援和死亡发生率分布可能会暗示早期承认的机会。具体调查结果突出了使用救援有关风险和有针对性的资源部署策略的潜力，以改善早期发现恶化。其他机构可以使用所应用的方法和方法来了解性能并允许合理的增量改进复杂的护理送货系统。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号