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本文引用的文献

1
Leveraging health information exchange to support public health situational awareness: the indiana experience.利用健康信息交换来支持公共卫生态势感知:印第安纳州的经验。
Online J Public Health Inform. 2010;2(2). doi: 10.5210/ojphi.v2i2.3213. Epub 2010 Oct 29.
2
The Northwest Public Health Information Exchange's Accomplishments in Connecting a Health Information Exchange with Public Health.西北公共卫生信息交换所在将健康信息交换与公共卫生相连接方面所取得的成就。
Online J Public Health Inform. 2010;2(2). doi: 10.5210/ojphi.v2i2.3210. Epub 2010 Oct 29.
3
Neighborhoods and health.社区与健康。
Ann N Y Acad Sci. 2010 Feb;1186:125-45. doi: 10.1111/j.1749-6632.2009.05333.x.
4
The importance of geographic data aggregation in assessing disparities in American Indian prenatal care.评估美国印第安人产前护理差异时,地理数据聚合的重要性。
Am J Public Health. 2010 Jan;100(1):122-8. doi: 10.2105/AJPH.2008.148908.
5
From place-based to people-based exposure measures.从基于地点的暴露测量到基于人群的暴露测量。
Soc Sci Med. 2009 Nov;69(9):1311-3. doi: 10.1016/j.socscimed.2009.07.013. Epub 2009 Aug 7.
6
Geographic disparities in colorectal cancer survival.结直肠癌生存率的地域差异。
Int J Health Geogr. 2009 Jul 23;8:48. doi: 10.1186/1476-072X-8-48.
7
Community health assessment using self-organizing maps and geographic information systems.使用自组织映射和地理信息系统进行社区健康评估。
Int J Health Geogr. 2008 Dec 30;7:67. doi: 10.1186/1476-072X-7-67.
8
Screening for lead poisoning: a geospatial approach to determine testing of children in at-risk neighborhoods.铅中毒筛查:一种确定高危社区儿童检测的地理空间方法。
J Pediatr. 2009 Mar;154(3):409-14. doi: 10.1016/j.jpeds.2008.09.027. Epub 2008 Nov 20.
9
Heterogeneity in mammography use across the nation: separating evidence of disparities from the disproportionate effects of geography.全国范围内乳腺钼靶检查使用情况的异质性:区分差异证据与地理因素的不均衡影响。
Int J Health Geogr. 2008 Jun 30;7:32. doi: 10.1186/1476-072X-7-32.
10
Using GPS-enabled cell phones to track the travel patterns of adolescents.使用具备全球定位系统功能的手机追踪青少年的出行模式。
Int J Health Geogr. 2008 May 21;7:22. doi: 10.1186/1476-072X-7-22.

在临床数据系统中纳入地理空间能力,以解决健康的社会决定因素。

Incorporating geospatial capacity within clinical data systems to address social determinants of health.

机构信息

Indiana University-Purdue University Indianapolis, School of Liberal Arts, The Polis Center, Indianapolis, IN 46202, USA.

出版信息

Public Health Rep. 2011 Sep-Oct;126 Suppl 3(Suppl 3):54-61. doi: 10.1177/00333549111260S310.

DOI:10.1177/00333549111260S310
PMID:21836738
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3150130/
Abstract

Linking electronic health record (EHR) systems with community information systems (CIS) holds great promise for addressing inequities in social determinants of health (SDH). While EHRs are rich in location-specific data that allow us to uncover geographic inequities in health outcomes, CIS are rich in data that allow us to describe community-level characteristics relating to health. When meaningfully integrated, these data systems enable clinicians, researchers, and public health professionals to actively address the social etiologies of health disparities.This article describes a process for exploring SDH by geocoding and integrating EHR data with a comprehensive CIS covering a large metropolitan area. Because the systems were initially designed for different purposes and had different teams of experts involved in their development, integrating them presents challenges that require multidisciplinary expertise in informatics, geography, public health, and medicine. We identify these challenges and the means of addressing them and discuss the significance of the project as a model for similar projects.

摘要

将电子健康记录 (EHR) 系统与社区信息系统 (CIS) 相连接,对于解决健康社会决定因素 (SDH) 方面的不平等问题具有很大的潜力。虽然 EHR 中包含丰富的特定于位置的数据,这些数据使我们能够揭示健康结果在地理上的不平等,但 CIS 中包含丰富的数据,这些数据使我们能够描述与健康相关的社区层面的特征。当这些数据系统得到有意义的整合时,临床医生、研究人员和公共卫生专业人员就能够积极解决健康差异的社会病因。本文描述了一个通过地理编码探索 SDH 的过程,即将覆盖一个大都市地区的 EHR 数据与一个综合性的 CIS 进行整合。由于这些系统最初是为不同的目的而设计的,并且有不同的专家团队参与其开发,因此将它们整合起来存在挑战,这需要在信息学、地理学、公共卫生和医学方面具备多学科专业知识。我们确定了这些挑战及其解决方法,并讨论了该项目作为类似项目模型的意义。