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通过数字化转型将健康的社会决定因素纳入精准医学:探索性路线图。

Integrating Social Determinants of Health to Precision Medicine through Digital Transformation: An Exploratory Roadmap.

机构信息

The Center for Supply Chain Excellence, Saint Louis University, Saint Louis, MO 63108, USA.

Department of Health Administration, Yonsei University, Seoul 03722, Korea.

出版信息

Int J Environ Res Public Health. 2021 May 10;18(9):5018. doi: 10.3390/ijerph18095018.

DOI:10.3390/ijerph18095018
PMID:34068530
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8126021/
Abstract

The COVID-19 pandemic has altered healthcare delivery platforms from traditional face-to-face formats to online care through digital tools. The healthcare industry saw a rapid adoption of digital collaborative tools to provide care to patients, regardless of where patients or clinicians were located, while mitigating the risk of exposure to the coronavirus. Information technologies now allow healthcare providers to continue a high level of care for their patients through virtual visits, and to collaborate with other providers in the networks. Population health can be improved by social determinants of health and precision medicine working together. However, these two health-enhancing constructs work independently, resulting in suboptimal health results. This paper argues that artificial intelligence can provide clinical-community linkage that enhances overall population health. An exploratory roadmap is proposed.

摘要

译文:

新冠疫情已经改变了医疗服务平台,从传统的面对面模式转变为通过数字工具进行在线医疗。医疗行业迅速采用数字协作工具,无论患者或临床医生身在何处,都为患者提供护理,同时降低了接触冠状病毒的风险。信息技术现在使医疗服务提供者能够通过虚拟访问继续为患者提供高水平的护理,并与网络中的其他提供者合作。通过共同努力,健康的社会决定因素和精准医疗可以提高人口健康水平。然而,这两个增强健康的结构是相互独立的,导致健康结果不理想。本文认为,人工智能可以提供临床-社区联系,从而提高整体人口健康水平。提出了一个探索性路线图。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a4e/8126021/0449e030f7af/ijerph-18-05018-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a4e/8126021/0449e030f7af/ijerph-18-05018-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a4e/8126021/0449e030f7af/ijerph-18-05018-g001.jpg

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