将患者层面的健康社会决定因素提取到 OMOP 通用数据模型中。
Extracting Patient-level Social Determinants of Health into the OMOP Common Data Model.
机构信息
Division of Biomedical and Health Informatics, UW Medicine, Seattle, Washington.
University of Washington Medicine Research IT, Seattle, Washington.
出版信息
AMIA Annu Symp Proc. 2022 Feb 21;2021:989-998. eCollection 2021.
Abstract
Deficiencies in data sharing capabilities limit Social Determinants of Health (SDoH) analysis as part of COVID-19 research. The National COVID Cohort Collaborative (N3C) is an example of an Electronic Health Record (EHR) database of patients tested for COVID-19 that could benefit from a SDoH elements framework that captures various screening instruments in EHR data warehouse systems. This paper uses the University of Washington Enterprise Data Warehouse (a data contributor to N3C) to demonstrate how SDoH can be represented and managed to be made available within an OMOP common data model. We found that these data varied by type of social determinants data and where it was collected, in the time period that it was collected, and in how it was represented.
摘要
数据共享能力的不足限制了 COVID-19 研究中社会决定因素（SDoH）分析的发展。国家 COVID 队列协作（N3C）是一个电子健康记录（EHR）数据库的例子，其中包含了接受 COVID-19 检测的患者，可以从社会决定因素元素框架中受益，该框架可以在 EHR 数据仓库系统中捕获各种筛查工具。本文使用华盛顿大学企业数据仓库（N3C 的一个数据贡献者）来说明如何表示 SDoH，并使其在 OMOP 通用数据模型中可用。我们发现，这些数据因社会决定因素数据的类型以及收集地点、收集时间以及表示方式而有所不同。
相似文献
1
Extracting Patient-level Social Determinants of Health into the OMOP Common Data Model.将患者层面的健康社会决定因素提取到 OMOP 通用数据模型中。
AMIA Annu Symp Proc. 2022 Feb 21;2021:989-998. eCollection 2021.
2
Advancing Interoperability of Patient-level Social Determinants of Health Data to Support COVID-19 Research.推进患者层面健康数据社会决定因素的互操作性，以支持 COVID-19 研究。
AMIA Jt Summits Transl Sci Proc. 2022 May 23;2022:396-405. eCollection 2022.
3
Patient-Reported Social Risks and Clinician Decision Making: Results of a Clinician Survey in Primary Care Community Health Centers.患者报告的社会风险与临床医生决策：基层医疗社区卫生中心临床医生调查结果。
Ann Fam Med. 2023 Mar-Apr;21(2):143-150. doi: 10.1370/afm.2953.
4
Documentation and review of social determinants of health data in the EHR: measures and associated insights.电子健康记录中健康的社会决定因素数据的文档记录和审查：措施和相关见解。
J Am Med Inform Assoc. 2021 Nov 25;28(12):2608-2616. doi: 10.1093/jamia/ocab194.
5
Physician Documentation of Social Determinants of Health: Results from Two National Surveys.医生对健康的社会决定因素的记录：两项全国性调查的结果
J Gen Intern Med. 2025 Feb;40(3):620-628. doi: 10.1007/s11606-024-09184-w. Epub 2024 Nov 18.
6
A Local Perspective into Electronic Health Record Design, Integration, and Implementation of Screening and Referral for Social Determinants of Health.电子健康记录设计、整合以及实施健康决定因素筛查和转介的本土化视角。
Perspect Health Inf Manag. 2022 Mar 15;19(Spring):1g. eCollection 2022 Spring.
7
Associations of County-Level Social Determinants of Health with COVID-19 Related Hospitalization Among People with HIV: A Retrospective Analysis of the U.S. National COVID Cohort Collaborative (N3C).县级健康社会决定因素与 HIV 感染者 COVID-19 相关住院的关联：美国国家 COVID 队列协作研究（N3C）的回顾性分析。
AIDS Behav. 2024 Oct;28(Suppl 1):136-148. doi: 10.1007/s10461-024-04466-0. Epub 2024 Sep 18.
8
Adaptation of an NLP system to a new healthcare environment to identify social determinants of health.将自然语言处理系统适配到新的医疗保健环境中，以识别健康的社会决定因素。
J Biomed Inform. 2021 Aug;120:103851. doi: 10.1016/j.jbi.2021.103851. Epub 2021 Jun 24.
9
Methods for development and application of data standards in an ontology-driven information model for measuring, managing, and computing social determinants of health for individuals, households, and communities evaluated through an example of asthma.在一个本体驱动的信息模型中开发和应用数据标准的方法，用于测量、管理和计算个体、家庭和社区的健康决定因素，通过哮喘的例子进行评估。
J Biomed Inform. 2022 Dec;136:104241. doi: 10.1016/j.jbi.2022.104241. Epub 2022 Nov 11.
10
Classifying social determinants of health from unstructured electronic health records using deep learning-based natural language processing.利用基于深度学习的自然语言处理技术从非结构化电子健康记录中分类社会健康决定因素。
J Biomed Inform. 2022 Mar;127:103984. doi: 10.1016/j.jbi.2021.103984. Epub 2022 Jan 7.
引用本文的文献
1
Documentation of social determinants of health for patients with type 2 diabetes in Epic Cosmos.在Epic Cosmos系统中记录2型糖尿病患者的健康社会决定因素。
JAMIA Open. 2025 Sep 4;8(5):ooaf095. doi: 10.1093/jamiaopen/ooaf095. eCollection 2025 Oct.
2
Clinical Research Informatics: a Decade-in-Review.临床研究信息学：十年回顾
Yearb Med Inform. 2024 Aug;33(1):127-142. doi: 10.1055/s-0044-1800732. Epub 2025 Apr 8.
3
Twenty-Five Years of Evolution and Hurdles in Electronic Health Records and Interoperability in Medical Research: Comprehensive Review.电子健康记录在医学研究中的25年发展历程与障碍及互操作性：全面综述
J Med Internet Res. 2025 Jan 9;27:e59024. doi: 10.2196/59024.
4
Realizing the potential of social determinants data in EHR systems: A scoping review of approaches for screening, linkage, extraction, analysis, and interventions.认识电子健康记录系统中社会决定因素数据的潜力：对筛查、关联、提取、分析和干预方法的范围审查
J Clin Transl Sci. 2024 Oct 10;8(1):e147. doi: 10.1017/cts.2024.571. eCollection 2024.
5
The Health Equity Explorer: An open-source resource for distributed health equity visualization and research across common data models.健康公平探索器：一个用于跨通用数据模型进行分布式健康公平可视化和研究的开源资源。
J Clin Transl Sci. 2024 Apr 5;8(1):e72. doi: 10.1017/cts.2024.500. eCollection 2024.
6
Toward standardization, harmonization, and integration of social determinants of health data: A Texas Clinical and Translational Science Award institutions collaboration.迈向健康数据社会决定因素的标准化、协调化与整合：德克萨斯临床与转化科学奖机构合作项目
J Clin Transl Sci. 2024 Jan 9;8(1):e17. doi: 10.1017/cts.2024.2. eCollection 2024.
7
Development of a social and environmental determinants of health informatics maturity model.健康信息学成熟度模型的社会和环境决定因素的发展
J Clin Transl Sci. 2023 Dec 7;7(1):e266. doi: 10.1017/cts.2023.691. eCollection 2023.
8
Leveraging natural language processing to augment structured social determinants of health data in the electronic health record.利用自然语言处理技术增强电子健康记录中的结构化社会决定因素健康数据。
J Am Med Inform Assoc. 2023 Jul 19;30(8):1389-1397. doi: 10.1093/jamia/ocad073.
9
Machine learning applied to electronic health record data in home healthcare: A scoping review.机器学习在家庭医疗保健中的电子健康记录数据中的应用：范围综述。
Int J Med Inform. 2023 Feb;170:104978. doi: 10.1016/j.ijmedinf.2022.104978. Epub 2022 Dec 30.
本文引用的文献
1
Unraveling COVID-19: A Large-Scale Characterization of 4.5 Million COVID-19 Cases Using CHARYBDIS.解析新冠病毒：使用CHARYBDIS对450万例新冠病例进行大规模特征分析。
Clin Epidemiol. 2022 Mar 22;14:369-384. doi: 10.2147/CLEP.S323292. eCollection 2022.
2
Characteristics and outcomes of 627 044 COVID-19 patients living with and without obesity in the United States, Spain, and the United Kingdom.美国、西班牙和英国 627044 例合并和不合并肥胖的 COVID-19 患者的特征和结局。
Int J Obes (Lond). 2021 Nov;45(11):2347-2357. doi: 10.1038/s41366-021-00893-4. Epub 2021 Jul 15.
3
Community-Level Factors Associated with COVID-19 Cases and Testing Equity in King County, Washington.与华盛顿金县 COVID-19 病例和检测公平性相关的社区水平因素。
Int J Environ Res Public Health. 2020 Dec 18;17(24):9516. doi: 10.3390/ijerph17249516.
4
Annotating social determinants of health using active learning, and characterizing determinants using neural event extraction.使用主动学习对健康的社会决定因素进行标注，并使用神经事件提取对决定因素进行特征描述。
J Biomed Inform. 2021 Jan;113:103631. doi: 10.1016/j.jbi.2020.103631. Epub 2020 Dec 5.
5
Healthy People 2030: A Call to Action to Lead America to Healthier Lives.《健康人民2030：引领美国迈向更健康生活的行动呼吁》
J Public Health Manag Pract. 2021;27(Suppl 6):S222-S224. doi: 10.1097/PHH.0000000000001266.
6
If social determinants of health are so important, shouldn't we ask patients about them?如果健康的社会决定因素如此重要，我们难道不应该询问患者这些因素吗？
BMJ. 2020 Nov 24;371:m4150. doi: 10.1136/bmj.m4150.
7
The terminology of social emergency medicine: Measuring social determinants of health, social risk, and social need.社会急诊医学术语：衡量健康的社会决定因素、社会风险和社会需求。
J Am Coll Emerg Physicians Open. 2020 Jul 20;1(5):852-856. doi: 10.1002/emp2.12191. eCollection 2020 Oct.
8
Deep phenotyping of 34,128 adult patients hospitalised with COVID-19 in an international network study.在一项国际网络研究中，对 34128 名因 COVID-19 住院的成年患者进行深度表型分析。
Nat Commun. 2020 Oct 6;11(1):5009. doi: 10.1038/s41467-020-18849-z.
9
Assessment of Disparities in COVID-19 Testing and Infection Across Language Groups in Seattle, Washington.评估华盛顿州西雅图市不同语言群体之间的 COVID-19 检测和感染的差异。
JAMA Netw Open. 2020 Sep 1;3(9):e2021213. doi: 10.1001/jamanetworkopen.2020.21213.
10
Utilization of Social Determinants of Health ICD-10 Z-Codes Among Hospitalized Patients in the United States, 2016-2017.利用健康 ICD-10 Z 编码在美国住院患者中的社会决定因素，2016-2017 年。
Med Care. 2020 Dec;58(12):1037-1043. doi: 10.1097/MLR.0000000000001418.
Zotero 插件