大数据集中的错误管理:兽医数据收集的关键组成部分
Luis Domenech1, José I Redondo2, Polly M Taylor3
1Departamento de Matemáticas, Física y Ciencias Tecnológicas, Escuela Superior de Enseñanzas Técnicas, Universidad Cardenal Herrera-CEU, CEU Universities, Valencia, Spain.
Veterinary anaesthesia and analgesia
|February 7, 2025
概括
实施实时错误管理网络系统显著减少了电子邮件和马匹死亡数据收集中的错误. 用户发现新系统比以前的PDF方法更舒适和高效.
科学领域:
- 兽医医学 兽医医学 兽医医学
- 数据管理数据管理
- 马的健康 马的健康
背景情况:
- 经经外科手术导致的马类死亡事件的机密调查 (CEPEF) 项目收集了有关马类麻醉结果的重要数据.
- 以前的数据收集方法依赖于电子邮件和个人文档文件 (PDF) 的手动审查,导致效率低下.
- 提高数据准确性和收集效率对于加强兽医研究和实践至关重要.
研究的目的:
- 为CEPEF4研究评估新的基于网络的实时错误管理系统的有效性.
- 将新系统的效率和用户体验与之前的数据收集阶段进行比较.
主要方法:
- 进行了一项观察性,描述性,回顾性,纵向性研究.
- 分析了48 075次全身麻醉和12 453次站立镇静剂的数据.
- 数据收集的三个阶段进行了比较:第一阶段 (电子邮件PDF,手动审查),第二阶段 (电子邮件PDF,自动审查) 和第三阶段 (网络系统,自动纠正).
主要成果:
- 网络系统 (第三阶段) 将数据管理员每天发送的电子邮件从3.6-3.9减少到1.7.
- 每100个病例的电子邮件比率从I/II阶段的4.0-5.8下降到III阶段的2.4.
- 在第三阶段,检测到的错误显著减少,在94天内从3,200多个下降到423个.
- 用户满意度调查显示,人们更喜欢Web系统的舒适性和可用性,而不是PDF系统.
结论:
- 过渡到实时错误管理网络系统大大减少了通信开销和数据错误.
- 用户因其易用性和舒适性而主观地更喜欢网络系统.
- 实施此类系统对于尽量减少数据不准确性和提高大规模兽医数据收集效率至关重要.
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