A case study of the 1115 waiver using population health informatics to address disparities

被引：5

作者：

Sitapati, Amy M. ^{[1
,2
]}

Berkovich, Barbara ^{[3
]}

Arellano, April Moreno ^{[4
]}

Scioscia, Angela ^{[5
]}

Friedman, Lawrence S. ^{[6
]}

Millen, Marlene ^{[7
,8
]}

Maysent, Patricia ^{[9
]}

Tai-Seale, Ming ^{[10
]}

Longhurst, Christopher A. ^{[11
,12
]}

机构：

[1] Univ Calif San Diego Hlth, Dept Med, Div Gen Internal Med, 9520 Towne Ctr Dr, San Diego, CA 92121 USA

[2] Univ Calif San Diego Hlth, Dept Med, Div Biomed Informat, 9520 Towne Ctr Dr, San Diego, CA 92121 USA

[3] Univ San Diego, Hahn Sch Nursing, San Diego, CA 92110 USA

[4] Univ Calif San Diego, Dept Med, San Diego, CA 92103 USA

[5] Univ Calif San Diego Hlth, Dept Obstet Gynecol & Reprod Sci, San Diego, CA 92121 USA

[6] Univ Calif San Diego Hlth, Dept Med & Pediat, San Diego, CA 92121 USA

[7] Univ Calif San Diego, Div Gen Internal Med, San Diego, CA 92103 USA

[8] Univ Calif San Diego, Dept Med, Div Biomed Informat, Ambulatory & Affiliates, San Diego, CA 92103 USA

[9] Univ Calif San Diego Hlth, San Diego, CA 92121 USA

[10] Univ Calif San Diego Hlth, Dept Family Med & Publ Hlth Informat Serv, San Diego, CA 92121 USA

[11] Univ Calif San Diego Hlth, Dept Biomed Informat, San Diego, CA 92121 USA

[12] Univ Calif San Diego Hlth, Dept Pediat, San Diego, CA 92121 USA

来源：

JAMIA OPEN | 2020年 / 3卷 / 02期

关键词：

clinical informatics; health disparities; CMS; 1115; waiver; population health; health IT; SEXUAL ORIENTATION; GENDER IDENTITY; INEQUALITY; QUALITY;

D O I：

10.1093/jamiaopen/ooaa019

中图分类号：

R19 [保健组织与事业（卫生事业管理）];

学科分类号：

摘要：

As participants in the California Medicaid 1115 waiver, the University of California San Diego Health (UCSDH) used population health informatics tools to address health disparities. This case study describes a modern application of health informatics to improve data capture, describe health disparities through demographic stratification, and drive reliable care through electronic medical record-based registries. We provide a details in our successful approach using (1) standardized collection of race, ethnicity, language, sexual orientation, and gender identity data, (2) stratification of 8 quality measures by demographic profile, and (3) improved quality performance through registries for wellness, social determinants of health, and chronic disease. A strong population health platform paired with executive support, physician leadership, education and training, and workflow redesign can improve the representation of diversity and drive reliable processes for care delivery that improve health equity.

引用

页码：178 / 184

页数：7

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