在COVID-19大流行期间从ARCOS-V向远程数据收集的过渡的见解:一项描述性研究
Nathan I N Henry1, Balakrishnan Nair2, Anna Ranta3
1Department of Biostatistics and Epidemiology (DoBE), Auckland University of Technology (AUT), Auckland, New Zealand.
Neuroepidemiology
|September 9, 2024
概括
在COVID-19大流行期间,ARCOS-V研究成功地转向使用REDCap和Zoom进行数字数据收集,确保不间断的中风和短暂性缺血性攻击 (TIA) 研究. 这种数字化转变提高了数据的准确性和安全性,证明了技术在流行病学研究中的潜力.
科学领域:
- 流行病学 流行病学
- 公共卫生 公共卫生
- 医疗信息学 医疗信息学
背景情况:
- 专注于中风和暂时性缺血性攻击 (TIA) 的ARCOS-V研究,适应了COVID-19大流行期间的数据收集挑战.
- 这种流行病学研究从纸质转向数字方法以确保连续性.
研究的目的:
- 描述ARCOS-V研究的方法变化和向数字数据收集过渡的挑战.
- 探索数字工具在改变流行病学研究中的潜力.
主要方法:
- 使用REDCap和Zoom实现了远程数据收集.
- 每天进行健康记录审查,研究人员直接输入数据,并进行远程后续评估.
- 数据安全通过加密和基于角色的访问控制来保持.
主要成果:
- 数字化转型使得在封锁期间可以持续监测中风和TIA病例.
- REDCap和Zoom改善了数据的覆盖范围,准确性和安全性.
- 确定了系统数据输入错误的可能性和需要强有力的安全措施.
结论:
- ARCOS-V研究的数字化转型展示了流行病学研究的弹性.
- 成功的适应凸显了数字工具的好处,特别是人工智能 (AI) 的进步.
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