基于网络的个性化推系统与电子健康记录接口的临床评估,以在SARS-CoV-2激增期间优化医疗保健资源
Alexander Henry Thieme1,2,3, Maximilian Gertler4, Brar Christian Piening5
1Department of Medicine and Biomedical Data Science, Stanford University, Stanford, CA, 94305, USA. thieme@stanford.edu.
Scientific reports
|December 18, 2023
概括
CovApp个性化推系统通过指导用户进行测试或隔离等适当行动,提高了SARS-CoV-2测试效率. 这种开源工具提高了患者的吞吐量,并成功识别了需要测试的高风险个体.
科学领域:
- 数字健康数字健康
- 公共卫生信息学 公共卫生信息学
- 流行病学 流行病学
背景情况:
- 在疫情期间,德国医疗保健系统在有效的SARS-CoV-2测试资源分配方面扎.
- 需要数字工具来管理测试需求并提供个性化的指导.
研究的目的:
- 开发和评估一个开源的个性化推系统 (CovApp) 以优化SARS-CoV-2测试.
- 评估CovApp对测试效率和用户风险分层的影响.
主要方法:
- 开发一个开源的个性化推系统 (CovApp),使用感染风险评估问卷.
- 实施个性化建议 (测试,隔离,隔离) 和QR码数据传输到电子健康记录 (EHR).
- 在SARS-CoV-2测试设施进行临床评估,测量患者吞吐量和风险组识别.
主要成果:
- CovApp每月为250万用户提供服务,显示出大量的公众采用,并获得广泛的反向链接.
- 观察到每小时患者吞吐量增加了21.7%,每天患者增加了22.5%.
- 使用CovApp的患者被确定为高风险患者的可能性是两倍,并且有资格进行测试 (18.6%与8.9%,p < 0.0001).
结论:
- CovApp有效地提高了SARS-CoV-2测试效率,并作为公众和医疗保健提供者之间的关键数字联系.
- 开源性质和CovApp的EHR集成为未来的公共卫生危机和临床应用提供了适应性.
- 该系统成功地引导用户,从而更好地分配资源和识别需要测试的个人.
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