共同制作安全的移动和落信息平台,以推动医院环境的有意义的质量改善:insightFall研究的混合方法协议
Rachael Lear1,2,3, Phoebe Averill4,5, Catalina Carenzo2,3
1Robin Hood Lane Health Centre, Sutton, London, UK.
BMJ open
|February 3, 2025
概括
这项研究共同设计了一个安全的移动和摔倒信息平台,以提供实时洞察力,以改善住院患者的摔倒预防. 该平台整合了来自不同系统的数据,为前线人员提供了可操作的信息,以提高质量.
科学领域:
- 医疗保健信息学 医疗保健信息学
- 患者安全 患者安全
- 提高质量 提高质量
背景情况:
- 手动检查住院患者的跌倒对临床工作人员来说是耗时的.
- 摔倒事件的数据往往被隔离在不同的系统中,限制了实时洞察力.
- 需要综合,可操作的数据来支持一线工作人员预防跌倒.
研究的目的:
- 共同设计和测试一个安全的移动和落信息平台.
- 为了实现自动化,实时的洞察力,以支持入院患者跌倒的学习反应.
- 通过解决跌倒问题,提高护理质量和患者安全.
主要方法:
- 混合方法研究使用学习健康系统模型和以人为中心的设计.
- 医疗保健专业人员,患者,数据科学家和研究人员之间的合作.
- 共同设计平台功能和自然语言处理 (NLP) 管道,然后使用技术接受模型进行可用性测试.
主要成果:
- 从电子健康记录和事故报告中对数据的多样性,真实性和价值进行探索性分析.
- 与QlikView集成的NLP管道的联合生产和临床验证.
- 可用性测试是基于用户反的平台优化信息.
结论:
- 共同设计的信息化平台旨在为住院患者的跌倒提供自动化,近乎实时的洞察力.
- 整合不同的数据源和NLP可以支持前线工作人员在质量改进方面的努力.
- 这种方法有可能提高患者的安全性,并减少手动摔倒调查的负担.
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