使用技术工具在MCI医院前响应中的关键绩效指标和基准:一项定性研究评估了从业者和工具开发者的看法
Hamdi Lamine1,2, Nikolaos Markou-Pappas3,4, Luca Ragazzoni3,5
1CRIMEDIM - Center for Research and Training in Disaster Medicine, Humanitarian Aid and GlobalHealth, Università del Piemonte Orientale IT, Vercelli, Italy. hamdi.lamine@uniupo.it.
概括
为大规模伤亡事件制定有效的关键绩效指标 (KPI) 需要弥合技术和医学之间的差距. 这项研究强调了在医院前应急响应中制定KPI的结构化方法的必要性.
科学领域:
- 紧急医疗 紧急医疗
- 医疗信息学 医疗信息学
- 应对灾害的应对措施
背景情况:
- 对大规模伤亡事件 (MCI) 的医院前应对需要有效的工具和明确的绩效指标.
- 新型综合工具包用于加强医院前生命支持和在具有挑战性和大型紧急情况中进行选 (NIGHTINGALE) 项目旨在改善MCI应对.
- 了解最终用户和开发人员对关键绩效指标 (KPIs) 的看法对于工具开发至关重要.
研究的目的:
- 调查最终用户和工具开发人员对临床MCI应对的关键关键指标和基准的观点.
- 收集见解,以提高NIGHTINGALE工具包和类似技术.
主要方法:
- 使用焦点小组讨论进行定性研究.
- 基于参与者的参与和熟悉NIGHTINGALE项目及其工具的参与者的纳入.
- 分析MCI响应中关于关键关键指标和基准的意见.
主要成果:
- 出现了四个主要主题:对KPI的理解,KPI开发过程,基准测试和技术/医疗知识差距.
- 参与者对KPI的个人理解有所不同.
- 发现了技术和医疗领域之间的理解差距.
结论:
- 在医院前灾难响应中实施KPI需要采用结构化的方法.
- 弥合技术发展和医疗实践之间的差距对于有效的MCI反应至关重要.
- 获得的洞察力对于改善灾害准备和应对至关重要.
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