开发基于智能手机的应急车库存管理系统
Chia-Hui Liu1, Nian-Yin Wu2, Che-Chia Liu2
1Ditmanson Medical Foundation Chia-Yi Christian Hospital, Chiayi, 600566, Taiwan.
Journal of medical systems
|October 9, 2025
概括
本研究介绍了一种计算机视觉系统,用于自动化应急车库存管理. 该系统大大减少了任务时间和医疗保健工作人员的工作量,提高了医院的效率.
科学领域:
- 医疗信息学 医疗信息学
- 计算机视觉 计算机视觉
- 医疗保健管理的管理
背景情况:
- 医院应急车库存管理是医疗保健工作人员耗时的工作.
- 医疗保健专业人员的高工作量和压力需要简化工作流程.
研究的目的:
- 开发和评估使用计算机视觉的应急车辆的自动化库存管理系统.
- 评估系统对任务完成时间和医疗保健人员工作量的影响.
- 为了比较各种对象检测算法的性能,用于自动计数药物.
主要方法:
- 开发基于智能手机的计算机视觉系统,用于应急车库存.
- 用户研究涉及37名护士,以比较系统实施前后的任务时间.
- 用500张训练图像评估用于药物计数的YOLOv4,YOLOv5,YOLOv7和YOLOv5-OBB物体检测算法.
主要成果:
- 平均库存任务时间从9.59分钟减少到5.32分钟.
- 平均护士工作量得分从3.81降至2.70.
- 结合YOLOv5-OBB和YOLOv7的混合方法在药物计数中取得了最高的准确性,超检测率为1.29%,错误检测率为3.27%.
结论:
- 计算机视觉技术,特别是YOLO物体探测器,可以有效地自动化应急车库存管理.
- 拟议的系统简化了工作流程,并大大减少了医疗保健人员的工作负担.
- 基于智能手机的解决方案为提高医院库存管理效率提供了实用方法.
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