Back to Search Start Over

Improving the Collection of Race, Ethnicity, and Language Data to Reduce Healthcare Disparities: A Case Study from an Academic Medical Center.

Authors :
Lee WC
Veeranki SP
Serag H
Eschbach K
Smith KD
Source :
Perspectives in health information management [Perspect Health Inf Manag] 2016 Oct 01; Vol. 13 (Fall), pp. 1g. Date of Electronic Publication: 2016 Oct 01 (Print Publication: 2016).
Publication Year :
2016

Abstract

Well-designed electronic health records (EHRs) must integrate a variety of accurate information to support efforts to improve quality of care, particularly equity-in-care initiatives. This case study provides insight into the challenges those initiatives may face in collecting accurate race, ethnicity, and language (REAL) information in the EHR. We present the experience of an academic medical center strengthening its EHR for better collection of REAL data with funding from the EHR Incentive Programs for meaningful use of health information technology and the Texas Medicaid 1115 Waiver program. We also present a plan to address some of the challenges that arose during the course of the project. Our experience at an academic medical center can provide guidance about the likely challenges similar institutions may expect when they implement new initiatives to collect REAL data, particularly challenges regarding scope, personnel, and other resource needs.

Details

Language :
English
ISSN :
1559-4122
Volume :
13
Issue :
Fall
Database :
MEDLINE
Journal :
Perspectives in health information management
Publication Type :
Academic Journal
Accession number :
27843424