Electronic Health Record-Integrated Clinical Decision Support for Clinicians Serving Populations Facing Health Care Disparities: Literature Review

Author:

Stipelman Carole H.12,Kukhareva Polina V.3,Trepman Elly45,Nguyen Quang-Tuyen1,Valdez Lourdes3,Kenost Colleen3,Hightower Maia236,Kawamoto Kensaku3

Affiliation:

1. Department of Pediatrics, University of Utah School of Medicine, Salt Lake City, UT, USA

2. Health Informatics, University of Utah School of Medicine, Salt Lake City, UT, USA

3. Department of Biomedical Informatics, University of Utah School of Medicine, Salt Lake City, UT, USA

4. Department of Medical Microbiology and Infectious Diseases, University of Manitoba, Winnipeg, MB, Canada

5. University of South Alabama College of Medicine, Mobile, AL, USA

6. Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, UT, USA

Abstract

Objectives: To review current studies about designing and implementing clinician-facing clinical decision support (CDS) integrated or interoperable with an electronic health record (EHR) to improve health care for populations facing disparities. Methods: We searched PubMed to identify studies published between January 1, 2011 and October 22, 2021 about clinician-facing CDS integrated or interoperable with an EHR. We screened abstracts and titles and extracted study data from articles using a protocol developed by team consensus. Extracted data included patient population characteristics, clinical specialty, setting, EHR, clinical problem, CDS type, reported user-centered design, implementation strategies, and outcomes. Results: There were 28 studies (36 articles) included. Most studies were performed at safety net institutions (14 studies) or Indian Health Service sites (6 studies). CDS tools were implemented in primary care outpatient settings in 24 studies (86%) for screening or treatment. CDS included point-of-care alerts (93%), order facilitators (46%), workflow support (39%), relevant information display (36%), expert systems (11%), and medication dosing support (7%). Successful outcomes were reported in 19 of 26 studies that reported outcomes (73%). User-centered design was reported during CDS planning (39%), development (32%), and implementation phase (25%). Most frequent implementation strategies were education (89%) and consensus facilitation (50%). Conclusions: CDS tools may improve health equity and outcomes for patients who face disparities. The present review underscores the need for high-quality analyses of CDS-associated health outcomes, reporting of user-centered design and implementation strategies used in low-resource settings, and methods to disseminate CDS created to improve health equity.

Publisher

Georg Thieme Verlag KG

Subject

General Medicine

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