大数据科学如何改善医疗保健中的关联和保留。

How Big Data Science Can Improve Linkage and Retention in Care.

机构信息

Department of Medicine, Division of Infectious Diseases, University of Alabama at Birmingham School of Medicine, 845 19th Street South BBRB 206, Birmingham, AL 35205, USA.

出版信息

Infect Dis Clin North Am. 2019 Sep;33(3):807-815. doi: 10.1016/j.idc.2019.05.009.

DOI:10.1016/j.idc.2019.05.009

PMID:31395146

Abstract

Ending the HIV Epidemic: A Plan for America" (EtHE), launched by the Department of Health and Human Services (DHHS), is predicated on actionable data systems to monitor progress toward ambitious goals and to guide human immunodeficiency virus (HIV) testing, prevention, and treatment services. Situated on a status-neutral continuum of HIV prevention and care, EtHE relies on coordination across DHHS agencies and utilization of data systems established for programmatic purposes. Improving efficiencies and timeliness of existing data systems and harnessing the potential of novel data systems, including those afforded by social media, require big data science approaches and investment in technological and human resources.

摘要

《终结美国艾滋病疫情计划》（EtHE）由美国卫生与公众服务部（DHHS）发起，其前提是建立可操作的数据系统，以监测实现宏伟目标的进展情况，并指导人类免疫缺陷病毒（HIV）检测、预防和治疗服务。EtHE 位于 HIV 预防和护理的中性连续统一体上，依赖于 DHHS 机构之间的协调以及为计划目的建立的数据系统的利用。提高现有数据系统的效率和及时性，并利用新的数据系统的潜力，包括社交媒体提供的数据系统，需要大数据科学方法和对技术及人力资源的投资。