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

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          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.

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          Author and article information

          Journal
          J Am Med Inform Assoc
          Journal of the American Medical Informatics Association : JAMIA
          1527-974X
          1067-5027
          Mar 2016
          : 23
          : 2
          Affiliations
          [1 ] Robert Graham Center for Policy Studies in Primary Care, Washington, DC, USA.
          [2 ] OCHIN, Inc., Portland, OR, USA Department of Family Medicine, Oregon Health & Science University, Portland, OR, USA.
          [3 ] OCHIN, Inc., Portland, OR, USA Kaiser Permanente NW, Center for Health Research, Portland, OR, USA.
          [4 ] Robert Wood Johnson Foundation Clinical Scholars Program®, Department of Family Medicine, University of Michigan, Ann Arbor, MI, USA.
          [5 ] American Board of Family Medicine, Washington, DC, USA.
          [6 ] Department of Family Medicine, Oregon Health & Science University, Portland, OR, USA angierh@ohsu.edu.
          [7 ] Department of Family Medicine, Oregon Health & Science University, Portland, OR, USA Department of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland, OR, USA.
          [8 ] HealthLandscape, American Academy of Family Physicians, Cincinnati, OH, USA.
          Article
          ocv088
          10.1093/jamia/ocv088
          26174867
          285130bf-90e0-4350-a74a-011a4ec72055
          © The Author 2015. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For Permissions, please email: journals.permissions@oup.com.
          History

          electronic health records,residence characteristics,social determinants of health,socioeconomic factors

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