使用二维条码和条码扫描实践改善免疫卫生保健数据质量
Faisal Reza1,2,3, Caroline Jones4,2,3, Jenica H Reed4,2,3
1Immunization Services Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, United States.
Applied clinical informatics
|January 29, 2024
概括
与手动方法相比,扫描二维 (2D) 条形码以输入疫苗数据显著提高了准确性和完整性. 这种做法对于可靠的免疫记录和公共卫生至关重要.
科学领域:
- 公共卫生 公共卫生
- 医疗信息学 医疗信息学
- 疫苗学 疫苗学 疫苗学
背景情况:
- 手动输入疫苗数据是低效的,容易出现错误.
- 二维 (2D) 条形码扫描为疫苗数据管理提供了快速,准确的方法.
- 疾病预防控制中心的飞行员评估了二维条形码扫描对数据质量和效率的影响.
研究的目的:
- 分析疫苗数据输入实践,并在例行和大规模疫苗接种环境中记录质量.
- 通过技术干预来确定改善数据质量的机会.
- 评估疫苗管理记录的准确性和完整性.
主要方法:
- 分析了5000万份紧急使用授权 (EUA) COVID-19疫苗记录,以确保准确性和完整性.
- 检查了数据字段,包括批号,到期日和国家药物规范 (NDC).
- 在CDC试点中,扫描的常规疫苗数据与手动输入的 EUA 疫苗数据进行了比较.
主要成果:
- 手动输入的EUACOVID-19疫苗数据显示出严重的不准确性 (例如,53%的NDC,35%的到期日错误).
- 扫描的常规疫苗数据 (71,969条记录) 在关键领域实现了近乎完美的准确性 (99.7%99.999%).
- 试点数据突出显示,随着条码扫描,数据质量得到了大幅改善.
结论:
- 疫苗2D条形码扫描显著提高了数据的准确性和完整性,达到高达99.999%.
- 持续使用扫描解决了手动数据输入问题,改善了免疫信息系统.
- 建议广泛采用扫描实践,得到CDC国家采用战略的支持.
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