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EditorialEditorial

Perspectives in Primary Care: The Foundational Urgent Importance of a Shared Primary Care Data Model

Larry A. Green and Michael Klinkman
The Annals of Family Medicine July 2015, 13 (4) 303-311; DOI: https://doi.org/10.1370/afm.1817
Larry A. Green
1Department of Family Medicine, University of Colorado, Denver, Colorado
MD
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Michael Klinkman
2Department of Family Medicine, University of Michigan, Ann Arbor, Michigan
MD, MS
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  • For correspondence: mklinkma@umich.edu
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    Figure 1

    Proposed NCVHS community-population health data model.

    Reprinted with permission from National Committee on Vital and Health Statistics.24

  • Figure 2
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    Figure 2

    Draft primary care data model.

    CCD =Continuity of Care Document; HEDIS = Healthcare Effectiveness Data and Information Set; HL7 = Health Level Seven International; XML = Extensible Markup Language; TBD = to be determined.

  • Figure 3
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    Figure 3

    Example of potential utility of primary care data model in clinical care coordination.

    ACSC = ambulatory care sensitive conditions; CCD = Continuity of Care Document; ER = emergency department; HUD = Housing and Urban Development; PCMH = primary care medical home; Rx = prescription; TBD = to be determined.

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The Annals of Family Medicine: 13 (4)
The Annals of Family Medicine: 13 (4)
Vol. 13, Issue 4
July/August 2015
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Perspectives in Primary Care: The Foundational Urgent Importance of a Shared Primary Care Data Model
Larry A. Green, Michael Klinkman
The Annals of Family Medicine Jul 2015, 13 (4) 303-311; DOI: 10.1370/afm.1817

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Perspectives in Primary Care: The Foundational Urgent Importance of a Shared Primary Care Data Model
Larry A. Green, Michael Klinkman
The Annals of Family Medicine Jul 2015, 13 (4) 303-311; DOI: 10.1370/afm.1817
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    • A CONCEPTUAL DATA MODEL FOR PRIMARY CARE
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Subjects

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Keywords

  • primary health care
  • community health services
  • health information technology
  • outcome and process assessment (health care)
  • electronic health records
  • medical informatics
  • classification
  • population health
  • health data standards

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