Implementing institute of medicine recommendations on collection of patient race, ethnicity, and language data in a community health center

Geniene Wilson; Romana Hasnain-Wynia; Diane Hauser; Neil Calman

doi:10.1353/hpu.2013.0071

Implementing institute of medicine recommendations on collection of patient race, ethnicity, and language data in a community health center

Geniene Wilson
, Romana Hasnain-Wynia
, Diane Hauser
, Neil Calman

Research output: Contribution to journal › Article › peer-review

9 Scopus citations

Abstract

The Institute for Family Health is one of the first health care organizations to implement the 2009 Institute of Medicine recommendations on collection of patient race, ethnicity, and language data as a means of identifying and addressing health disparities. This paper describes the implementation process and lessons learned from the project.

Original language	English
Pages (from-to)	875-884
Number of pages	10
Journal	Journal of Health Care for the Poor and Underserved
Volume	24
Issue number	2
DOIs	https://doi.org/10.1353/hpu.2013.0071
State	Published - May 2013

Keywords

Community health center
Cultural competence
Electronic health records
Granular ethnicity
Health care disparities
Race, ethnicity, and language data

Access to Document

10.1353/hpu.2013.0071

Cite this

@article{670cc4fcf73b4c7d907a63374d651c5a,

title = "Implementing institute of medicine recommendations on collection of patient race, ethnicity, and language data in a community health center",

abstract = "The Institute for Family Health is one of the first health care organizations to implement the 2009 Institute of Medicine recommendations on collection of patient race, ethnicity, and language data as a means of identifying and addressing health disparities. This paper describes the implementation process and lessons learned from the project.",

keywords = "Community health center, Cultural competence, Electronic health records, Granular ethnicity, Health care disparities, Race, ethnicity, and language data",

author = "Geniene Wilson and Romana Hasnain-Wynia and Diane Hauser and Neil Calman",

year = "2013",

month = may,

doi = "10.1353/hpu.2013.0071",

language = "English",

volume = "24",

pages = "875--884",

journal = "Journal of Health Care for the Poor and Underserved",

issn = "1049-2089",

publisher = "Johns Hopkins University Press",

number = "2",

}

TY - JOUR

T1 - Implementing institute of medicine recommendations on collection of patient race, ethnicity, and language data in a community health center

AU - Wilson, Geniene

AU - Hasnain-Wynia, Romana

AU - Hauser, Diane

AU - Calman, Neil

PY - 2013/5

Y1 - 2013/5

N2 - The Institute for Family Health is one of the first health care organizations to implement the 2009 Institute of Medicine recommendations on collection of patient race, ethnicity, and language data as a means of identifying and addressing health disparities. This paper describes the implementation process and lessons learned from the project.

AB - The Institute for Family Health is one of the first health care organizations to implement the 2009 Institute of Medicine recommendations on collection of patient race, ethnicity, and language data as a means of identifying and addressing health disparities. This paper describes the implementation process and lessons learned from the project.

KW - Community health center

KW - Cultural competence

KW - Electronic health records

KW - Granular ethnicity

KW - Health care disparities

KW - Race, ethnicity, and language data

UR - https://www.scopus.com/pages/publications/84878444994

U2 - 10.1353/hpu.2013.0071

DO - 10.1353/hpu.2013.0071

M3 - Article

AN - SCOPUS:84878444994

SN - 1049-2089

VL - 24

SP - 875

EP - 884

JO - Journal of Health Care for the Poor and Underserved

JF - Journal of Health Care for the Poor and Underserved

IS - 2

ER -

Implementing institute of medicine recommendations on collection of patient race, ethnicity, and language data in a community health center

Abstract

Keywords

Access to Document

Fingerprint

Cite this