There is growing evidence showing the significant role of social determinant of health (SDOH) on a wide variety of health outcomes. In the era of artificial intelligence (AI), electronic health records (EHRs) have been widely used to conduct observational studies. However, how to make the best of SDOH information from EHRs is yet to be studied. In this paper, we systematically reviewed recently published papers and provided a methodology review of AI methods using the SDOH information in EHR data. A total of 1250 articles were retrieved from the literature between 2010 and 2020, and 74 papers were included in this review after abstract and full-text screening. We summarized these papers in terms of general characteristics (including publication years, venues, countries etc.), SDOH types, disease areas, study outcomes, AI methods to extract SDOH from EHRs and AI methods using SDOH for healthcare outcomes. Finally, we conclude this paper with discussion on the current trends, challenges, and future directions on using SDOH from EHRs.
翻译：越来越多的证据表明,健康的社会决定因素(SDOH)对于各种健康成果具有重要作用,在人工智能(AI)时代,电子健康记录(EHR)被广泛用于进行观察研究,然而,如何最佳利用EHR的SDOH信息尚有待研究,在本文件中,我们系统地审查了最近发表的论文,并提供了使用EHR数据中SDOH信息对AI方法进行的方法审查,2010年至2020年期间,从文献中共检索了1,250篇文章,在抽象和全文筛选后,本审查共包括了74篇论文,我们从一般特征(包括出版年份、地点、国家等)、SDOH、疾病类型、研究结果、AI从EHR提取SDOH信息的方法以及使用SDOH的AI方法对健康成果进行了总结,最后,我们通过讨论目前的趋势、挑战以及今后如何使用EHR的SDOH。
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