通过应用系统安全工程和人为因素了解儿科重症监护病房的临床决策支持故障问题分析:DISCOVER学习实验室的见解
Matthew Zackoff1,2,3, Anabel Graciela, Kelly Collins2
1Division of Critical Care Medicine, Department of Pediatrics, Cincinnati Children's Hospital Medical Center, University of Cincinnati College of Medicine.
儿科重症监护室 (PICU) 的临床医生在诊断严重疾病时面临着挑战. 系统安全工程和虚拟现实 (VR) 确定了工作流的问题和改善诊断准确性和患者护理的机会.
科学领域:
- 儿科重症监护医药 儿科重症监护医药
- 人类因素工程 人类因素工程
- 系统安全工程系统安全工程
背景情况:
- 儿科重症监护室 (PICU) 在诊断严重疾病方面存在复杂的挑战,增加了对失补偿和错误的脆弱性.
- 在PICU中现有的临床决策支持 (CDS) 工具在改善临床医生实践或证明诊断准确性的临床益处方面取得了有限的成功.
研究的目的:
- 分析PICU内诊断和管理临床失补偿的工作流和失败模式.
- 通过使用系统安全工程和人为因素原则,研究临床决策支持 (CDS) 工具的整合和影响.
主要方法:
- 定性访谈和工作流程绘制,以确定沟通和信息获取障碍.
- 沉浸式虚拟现实 (VR) 系统测试使用数字双胞胎环境来模拟和分析员工与CDS工具的互动.
- 故障模式和影响分析 (FMEA) 确定关键故障点.
主要成果:
- 在关键事件期间,工作流的低效率,沟通障碍和对临床信息的不充分访问被确定为关键挑战.
- 虚拟现实模拟揭示了PICU工作人员如何与CDS工具互动,并突出了更好的工作流集成的机会.
- 确定了特定的关键故障模式,提供了针对性的干预领域,以加强护理提供.
结论:
- 系统安全和人为因素的方法,结合VR和数字双胞胎技术,为PICU的诊断错误提供了宝贵的见解.
- 这种方法确定了关键的故障模式和潜在的干预措施,以提高四级转诊中心PICU的诊断准确性和患者护理.
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