Social determinants of health in the era of artificial intelligence with electronic health records: A systematic review

• URL: http://arxiv.org/abs/2102.04216v1
• Date: Fri, 22 Jan 2021 09:03:39 GMT
• Title: Social determinants of health in the era of artificial intelligence with electronic health records: A systematic review
• Authors: Anusha Bompelli, Yanshan Wang, Ruyuan Wan, Esha Singh, Yuqi Zhou, Lin Xu, David Oniani, Bhavani Singh Agnikula Kshatriya, Joyce (Joy) E. Balls-Berry, and Rui Zhang
• Abstract summary: How to make the best of social determinant of health (SDOH) information from electronic health records ( EHRs) is yet to be studied. A total of 1250 articles were retrieved from the literature between 2010 and 2020, and 74 papers were included in this review. We conclude this paper with discussion on the current trends, challenges, and future directions on using SDOH from EHRs.
• Score: 12.944415086215708
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: 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.

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