创建AMU患者名单:从初级写字员到初级医生
Zahra Ravat1, Amil Sinha2, Alistair Jellinek2
1Acute Medical Unit, Sandwell and West Birmingham Hospitals NHS Trust, Birmingham, UK zahra.ravat4@nhs.net.
BMJ open quality
|March 1, 2024
概括
自动化患者名单生成大大降低了急性病房医生工作量,节省了宝贵的时间并改善了医生福祉. 这项质量改进项目简化了行政任务,提高了患者护理的提供.
科学领域:
- 医疗保健管理的管理
- 医疗信息学 医疗信息学
- 提高医学的质量 改善医学的质量
背景情况:
- 急性病房 (AMU) 患者名单对于早上病房巡视至关重要,将患者分类为职员,接收后 (PTWR) 和接收后 (PPTWR) 审查.
- 初级医生手动生成这一每日列表是耗时的,特别是考虑到高患者流动率和"异常"患者的周末要求.
- 现有的行政负担会影响医生的福祉和潜在的患者护理效率.
研究的目的:
- 评估自动化患者名单生成对AMU的影响.
- 测量自动化对生成列表所花费的时间和员工的患者数量的影响.
- 评估初级医生对列表生成的态度的变化.
主要方法:
- 一个质量改进项目 (QIP) 使用试点研究和三个"计划-做-研究-行动" (PDSA) 周期.
- 干预涉及实施自动化患者名单生成器.
- 测量包括列表生成的时间 (过程),每晚报名的患者 (结果) 和医生的态度 (平衡).
主要成果:
- 自动化显著减少了列表生成时间,在工作日减少了44.3分钟 (66.3%),周末减少了37.8分钟 (42%).
- 观察到医生负面态度的显著减少:工作日下降63.5% (p<0.00001) 和周末下降50.5% (p=0.0007).
- 干预前的"耗时"态度转变为干预后的"易于制造";一些医生报告说,他们收录了更多的患者.
结论:
- 自动化劳动密集型的行政任务,如患者名单生成,可以大大节省时间.
- 这种自动化提高了医生的态度和福祉,有助于提高患者护理质量.
- 在急性医疗环境中,QIP证明了提高效率和工作满意度的成功模式.
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