An overview of clinical decision support systems: benefits, risks, and strategies for success

Abstract Computerized clinical decision support systems, or CDSS, represent a paradigm shift in healthcare today. CDSS are used to augment clinicians in their complex decision-making processes. Since their first use in the 1980s, CDSS have seen a rapid evolution. They are now commonly administered t...

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Autores principales:	Reed T. Sutton, David Pincock, Daniel C. Baumgart, Daniel C. Sadowski, Richard N. Fedorak, Karen I. Kroeker
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Computer applications to medicine. Medical informatics R858-859.7
Acceso en línea:	https://doaj.org/article/92e0917c061d4f84b6a7e7e739d84b14
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spelling	oai:doaj.org-article:92e0917c061d4f84b6a7e7e739d84b142021-12-02T16:23:10ZAn overview of clinical decision support systems: benefits, risks, and strategies for success10.1038/s41746-020-0221-y2398-6352https://doaj.org/article/92e0917c061d4f84b6a7e7e739d84b142020-02-01T00:00:00Zhttps://doi.org/10.1038/s41746-020-0221-yhttps://doaj.org/toc/2398-6352Abstract Computerized clinical decision support systems, or CDSS, represent a paradigm shift in healthcare today. CDSS are used to augment clinicians in their complex decision-making processes. Since their first use in the 1980s, CDSS have seen a rapid evolution. They are now commonly administered through electronic medical records and other computerized clinical workflows, which has been facilitated by increasing global adoption of electronic medical records with advanced capabilities. Despite these advances, there remain unknowns regarding the effect CDSS have on the providers who use them, patient outcomes, and costs. There have been numerous published examples in the past decade(s) of CDSS success stories, but notable setbacks have also shown us that CDSS are not without risks. In this paper, we provide a state-of-the-art overview on the use of clinical decision support systems in medicine, including the different types, current use cases with proven efficacy, common pitfalls, and potential harms. We conclude with evidence-based recommendations for minimizing risk in CDSS design, implementation, evaluation, and maintenance.Reed T. SuttonDavid PincockDaniel C. BaumgartDaniel C. SadowskiRichard N. FedorakKaren I. KroekerNature PortfolioarticleComputer applications to medicine. Medical informaticsR858-859.7ENnpj Digital Medicine, Vol 3, Iss 1, Pp 1-10 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Computer applications to medicine. Medical informatics R858-859.7
spellingShingle	Computer applications to medicine. Medical informatics R858-859.7 Reed T. Sutton David Pincock Daniel C. Baumgart Daniel C. Sadowski Richard N. Fedorak Karen I. Kroeker An overview of clinical decision support systems: benefits, risks, and strategies for success
description	Abstract Computerized clinical decision support systems, or CDSS, represent a paradigm shift in healthcare today. CDSS are used to augment clinicians in their complex decision-making processes. Since their first use in the 1980s, CDSS have seen a rapid evolution. They are now commonly administered through electronic medical records and other computerized clinical workflows, which has been facilitated by increasing global adoption of electronic medical records with advanced capabilities. Despite these advances, there remain unknowns regarding the effect CDSS have on the providers who use them, patient outcomes, and costs. There have been numerous published examples in the past decade(s) of CDSS success stories, but notable setbacks have also shown us that CDSS are not without risks. In this paper, we provide a state-of-the-art overview on the use of clinical decision support systems in medicine, including the different types, current use cases with proven efficacy, common pitfalls, and potential harms. We conclude with evidence-based recommendations for minimizing risk in CDSS design, implementation, evaluation, and maintenance.
format	article
author	Reed T. Sutton David Pincock Daniel C. Baumgart Daniel C. Sadowski Richard N. Fedorak Karen I. Kroeker
author_facet	Reed T. Sutton David Pincock Daniel C. Baumgart Daniel C. Sadowski Richard N. Fedorak Karen I. Kroeker
author_sort	Reed T. Sutton
title	An overview of clinical decision support systems: benefits, risks, and strategies for success
title_short	An overview of clinical decision support systems: benefits, risks, and strategies for success
title_full	An overview of clinical decision support systems: benefits, risks, and strategies for success
title_fullStr	An overview of clinical decision support systems: benefits, risks, and strategies for success
title_full_unstemmed	An overview of clinical decision support systems: benefits, risks, and strategies for success
title_sort	overview of clinical decision support systems: benefits, risks, and strategies for success
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/92e0917c061d4f84b6a7e7e739d84b14
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An overview of clinical decision support systems: benefits, risks, and strategies for success

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