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An overview of clinical decision support systems: benefits, risks, and strategies for success
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 el...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7005290/ https://www.ncbi.nlm.nih.gov/pubmed/32047862 http://dx.doi.org/10.1038/s41746-020-0221-y |
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author | Sutton, Reed T. Pincock, David Baumgart, Daniel C. Sadowski, Daniel C. Fedorak, Richard N. Kroeker, Karen I. |
author_facet | Sutton, Reed T. Pincock, David Baumgart, Daniel C. Sadowski, Daniel C. Fedorak, Richard N. Kroeker, Karen I. |
author_sort | Sutton, Reed T. |
collection | PubMed |
description | 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 | Online Article Text |
id | pubmed-7005290 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-70052902020-02-11 An overview of clinical decision support systems: benefits, risks, and strategies for success Sutton, Reed T. Pincock, David Baumgart, Daniel C. Sadowski, Daniel C. Fedorak, Richard N. Kroeker, Karen I. NPJ Digit Med Review Article 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. Nature Publishing Group UK 2020-02-06 /pmc/articles/PMC7005290/ /pubmed/32047862 http://dx.doi.org/10.1038/s41746-020-0221-y Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Review Article Sutton, Reed T. Pincock, David Baumgart, Daniel C. Sadowski, Daniel C. Fedorak, Richard N. Kroeker, Karen I. An overview of clinical decision support systems: benefits, risks, and strategies for success |
title | 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_short | 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 |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7005290/ https://www.ncbi.nlm.nih.gov/pubmed/32047862 http://dx.doi.org/10.1038/s41746-020-0221-y |
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