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Clinical Decision Support Systems and Computerized Provider Order Entry: Contributions from 2020
Objectives: To summarize research contributions published in 2020 in the field of clinical decision support systems (CDSS) and computerized provider order entry (CPOE), and select the best papers for the Decision Support section of the International Medical Informatics Association (IMIA) Yearbook 20...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Georg Thieme Verlag KG
2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8416195/ https://www.ncbi.nlm.nih.gov/pubmed/34479388 http://dx.doi.org/10.1055/s-0041-1726534 |
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author | Borbolla, Damian Ficheur, Grégoire |
author_facet | Borbolla, Damian Ficheur, Grégoire |
author_sort | Borbolla, Damian |
collection | PubMed |
description | Objectives: To summarize research contributions published in 2020 in the field of clinical decision support systems (CDSS) and computerized provider order entry (CPOE), and select the best papers for the Decision Support section of the International Medical Informatics Association (IMIA) Yearbook 2021. Methods: Two bibliographic databases were searched for papers referring to clinical decision support systems. From search results, section editors established a list of candidate best papers, which were then peer-reviewed by seven external reviewers. The IMIA Yearbook editorial committee finally selected the best papers on the basis of all reviews including the section editors’ evaluation. Results: A total of 1,919 articles were retrieved. 15 best paper candidates were selected, the reviews of which resulted in the selection of two best papers. One paper reports on the use of electronic health records to support a public health response to the COVID-19 pandemic in the United States. The second paper proposes a combination of CDSS and telemedicine as a technology-based intervention to improve the outcomes of depression as part of a cluster trial. Conclusions: As shown by the number and the variety of works related to clinical decision support, research in the field is very active. This year's selection highlighted the application of CDSS to fight COVID-19 and a combined technology-based strategy to improve the treatment of depression. |
format | Online Article Text |
id | pubmed-8416195 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Georg Thieme Verlag KG |
record_format | MEDLINE/PubMed |
spelling | pubmed-84161952021-09-07 Clinical Decision Support Systems and Computerized Provider Order Entry: Contributions from 2020 Borbolla, Damian Ficheur, Grégoire Yearb Med Inform Objectives: To summarize research contributions published in 2020 in the field of clinical decision support systems (CDSS) and computerized provider order entry (CPOE), and select the best papers for the Decision Support section of the International Medical Informatics Association (IMIA) Yearbook 2021. Methods: Two bibliographic databases were searched for papers referring to clinical decision support systems. From search results, section editors established a list of candidate best papers, which were then peer-reviewed by seven external reviewers. The IMIA Yearbook editorial committee finally selected the best papers on the basis of all reviews including the section editors’ evaluation. Results: A total of 1,919 articles were retrieved. 15 best paper candidates were selected, the reviews of which resulted in the selection of two best papers. One paper reports on the use of electronic health records to support a public health response to the COVID-19 pandemic in the United States. The second paper proposes a combination of CDSS and telemedicine as a technology-based intervention to improve the outcomes of depression as part of a cluster trial. Conclusions: As shown by the number and the variety of works related to clinical decision support, research in the field is very active. This year's selection highlighted the application of CDSS to fight COVID-19 and a combined technology-based strategy to improve the treatment of depression. Georg Thieme Verlag KG 2021-08 2021-09-03 /pmc/articles/PMC8416195/ /pubmed/34479388 http://dx.doi.org/10.1055/s-0041-1726534 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 | Borbolla, Damian Ficheur, Grégoire Clinical Decision Support Systems and Computerized Provider Order Entry: Contributions from 2020 |
title | Clinical Decision Support Systems and Computerized Provider Order Entry: Contributions from 2020 |
title_full | Clinical Decision Support Systems and Computerized Provider Order Entry: Contributions from 2020 |
title_fullStr | Clinical Decision Support Systems and Computerized Provider Order Entry: Contributions from 2020 |
title_full_unstemmed | Clinical Decision Support Systems and Computerized Provider Order Entry: Contributions from 2020 |
title_short | Clinical Decision Support Systems and Computerized Provider Order Entry: Contributions from 2020 |
title_sort | clinical decision support systems and computerized provider order entry: contributions from 2020 |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8416195/ https://www.ncbi.nlm.nih.gov/pubmed/34479388 http://dx.doi.org/10.1055/s-0041-1726534 |
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