“Community vital signs” : incorporating geocoded social determinants into electronic records to promote patient and population health

Author:

Bazemore Andrew W1,Cottrell Erika K23,Gold Rachel24,Hughes Lauren S5,Phillips Robert L6,Angier Heather3,Burdick Timothy E37,Carrozza Mark A8,DeVoe Jennifer E23

Affiliation:

1. Robert Graham Center for Policy Studies in Primary Care, Washington, DC, USA

2. OCHIN, Inc., Portland, OR, USA

3. Department of Family Medicine, Oregon Health & Science University, Portland, OR, USA

4. Kaiser Permanente NW, Center for Health Research, Portland, OR, USA

5. Robert Wood Johnson Foundation Clinical Scholars Program®, Department of Family Medicine, University of Michigan, Ann Arbor, MI, USA

6. American Board of Family Medicine, Washington, DC, USA

7. Department of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland, OR, USA

8. HealthLandscape, American Academy of Family Physicians, Cincinnati, OH, USA

Abstract

Abstract Social determinants of health significantly impact morbidity and mortality; however, physicians lack ready access to this information in patient care and population management. Just as traditional vital signs give providers a biometric assessment of any patient, “community vital signs” (Community VS) can provide an aggregated overview of the social and environmental factors impacting patient health. Knowing Community VS could inform clinical recommendations for individual patients, facilitate referrals to community services, and expand understanding of factors impacting treatment adherence and health outcomes. This information could also help care teams target disease prevention initiatives and other health improvement efforts for clinic panels and populations. Given the proliferation of big data, geospatial technologies, and democratization of data, the time has come to integrate Community VS into the electronic health record (EHR). Here, the authors describe (i) historical precedent for this concept, (ii) opportunities to expand upon these historical foundations, and (iii) a novel approach to EHR integration.

Publisher

Oxford University Press (OUP)

Subject

Health Informatics

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3