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

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 publ...

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Autores principales: Stipelman, Carole H., Kukhareva, Polina V., Trepman, Elly, Nguyen, Quang-Tuyen, Valdez, Lourdes, Kenost, Colleen, Hightower, Maia, Kawamoto, Kensaku
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Georg Thieme Verlag KG 2022
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9719761/
https://www.ncbi.nlm.nih.gov/pubmed/36463877
http://dx.doi.org/10.1055/s-0042-1742518
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author Stipelman, Carole H.
Kukhareva, Polina V.
Trepman, Elly
Nguyen, Quang-Tuyen
Valdez, Lourdes
Kenost, Colleen
Hightower, Maia
Kawamoto, Kensaku
author_facet Stipelman, Carole H.
Kukhareva, Polina V.
Trepman, Elly
Nguyen, Quang-Tuyen
Valdez, Lourdes
Kenost, Colleen
Hightower, Maia
Kawamoto, Kensaku
author_sort Stipelman, Carole H.
collection PubMed
description 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.
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spelling pubmed-97197612022-12-05 Electronic Health Record-Integrated Clinical Decision Support for Clinicians Serving Populations Facing Health Care Disparities: Literature Review Stipelman, Carole H. Kukhareva, Polina V. Trepman, Elly Nguyen, Quang-Tuyen Valdez, Lourdes Kenost, Colleen Hightower, Maia Kawamoto, Kensaku Yearb Med Inform 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. Georg Thieme Verlag KG 2022-12-04 /pmc/articles/PMC9719761/ /pubmed/36463877 http://dx.doi.org/10.1055/s-0042-1742518 Text en IMIA and Thieme. This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. ( https://creativecommons.org/licenses/by-nc-nd/4.0/ ) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License, which permits unrestricted reproduction and distribution, for non-commercial purposes only; and use and reproduction, but not distribution, of adapted material for non-commercial purposes only, provided the original work is properly cited.
spellingShingle Stipelman, Carole H.
Kukhareva, Polina V.
Trepman, Elly
Nguyen, Quang-Tuyen
Valdez, Lourdes
Kenost, Colleen
Hightower, Maia
Kawamoto, Kensaku
Electronic Health Record-Integrated Clinical Decision Support for Clinicians Serving Populations Facing Health Care Disparities: Literature Review
title Electronic Health Record-Integrated Clinical Decision Support for Clinicians Serving Populations Facing Health Care Disparities: Literature Review
title_full Electronic Health Record-Integrated Clinical Decision Support for Clinicians Serving Populations Facing Health Care Disparities: Literature Review
title_fullStr Electronic Health Record-Integrated Clinical Decision Support for Clinicians Serving Populations Facing Health Care Disparities: Literature Review
title_full_unstemmed Electronic Health Record-Integrated Clinical Decision Support for Clinicians Serving Populations Facing Health Care Disparities: Literature Review
title_short Electronic Health Record-Integrated Clinical Decision Support for Clinicians Serving Populations Facing Health Care Disparities: Literature Review
title_sort electronic health record-integrated clinical decision support for clinicians serving populations facing health care disparities: literature review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9719761/
https://www.ncbi.nlm.nih.gov/pubmed/36463877
http://dx.doi.org/10.1055/s-0042-1742518
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