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Alerts in Clinical Decision Support Systems (CDSS): A Bibliometric Review and Content Analysis
A clinical decision support system (CDSS) informs or generates medical recommendations for healthcare practitioners. An alert is the most common way for a CDSS to interact with practitioners. Research about alerts in CDSS has proliferated over the past ten years. The research trend is ongoing with n...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9028311/ https://www.ncbi.nlm.nih.gov/pubmed/35455779 http://dx.doi.org/10.3390/healthcare10040601 |
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author | Chien, Shuo-Chen Chen, Ya-Lin Chien, Chia-Hui Chin, Yen-Po Yoon, Chang Ho Chen, Chun-You Yang, Hsuan-Chia Li, Yu-Chuan (Jack) |
author_facet | Chien, Shuo-Chen Chen, Ya-Lin Chien, Chia-Hui Chin, Yen-Po Yoon, Chang Ho Chen, Chun-You Yang, Hsuan-Chia Li, Yu-Chuan (Jack) |
author_sort | Chien, Shuo-Chen |
collection | PubMed |
description | A clinical decision support system (CDSS) informs or generates medical recommendations for healthcare practitioners. An alert is the most common way for a CDSS to interact with practitioners. Research about alerts in CDSS has proliferated over the past ten years. The research trend is ongoing with new emerging terms and focus. Bibliometric analysis is ideal for researchers to understand the research trend and future directions. Influential articles, institutes, countries, authors, and commonly used keywords were analyzed to grasp a comprehensive view on our topic, alerts in CDSS. Articles published between 2011 and 2021 were extracted from the Web of Science database. There were 728 articles included for bibliometric analysis, among which 24 papers were selected for content analysis. Our analysis shows that the research direction has shifted from patient safety to system utility, implying the importance of alert usability to be clinically impactful. Finally, we conclude with future research directions such as the optimization of alert mechanisms and comprehensiveness to enhance alert appropriateness and to reduce alert fatigue. |
format | Online Article Text |
id | pubmed-9028311 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-90283112022-04-23 Alerts in Clinical Decision Support Systems (CDSS): A Bibliometric Review and Content Analysis Chien, Shuo-Chen Chen, Ya-Lin Chien, Chia-Hui Chin, Yen-Po Yoon, Chang Ho Chen, Chun-You Yang, Hsuan-Chia Li, Yu-Chuan (Jack) Healthcare (Basel) Article A clinical decision support system (CDSS) informs or generates medical recommendations for healthcare practitioners. An alert is the most common way for a CDSS to interact with practitioners. Research about alerts in CDSS has proliferated over the past ten years. The research trend is ongoing with new emerging terms and focus. Bibliometric analysis is ideal for researchers to understand the research trend and future directions. Influential articles, institutes, countries, authors, and commonly used keywords were analyzed to grasp a comprehensive view on our topic, alerts in CDSS. Articles published between 2011 and 2021 were extracted from the Web of Science database. There were 728 articles included for bibliometric analysis, among which 24 papers were selected for content analysis. Our analysis shows that the research direction has shifted from patient safety to system utility, implying the importance of alert usability to be clinically impactful. Finally, we conclude with future research directions such as the optimization of alert mechanisms and comprehensiveness to enhance alert appropriateness and to reduce alert fatigue. MDPI 2022-03-23 /pmc/articles/PMC9028311/ /pubmed/35455779 http://dx.doi.org/10.3390/healthcare10040601 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Chien, Shuo-Chen Chen, Ya-Lin Chien, Chia-Hui Chin, Yen-Po Yoon, Chang Ho Chen, Chun-You Yang, Hsuan-Chia Li, Yu-Chuan (Jack) Alerts in Clinical Decision Support Systems (CDSS): A Bibliometric Review and Content Analysis |
title | Alerts in Clinical Decision Support Systems (CDSS): A Bibliometric Review and Content Analysis |
title_full | Alerts in Clinical Decision Support Systems (CDSS): A Bibliometric Review and Content Analysis |
title_fullStr | Alerts in Clinical Decision Support Systems (CDSS): A Bibliometric Review and Content Analysis |
title_full_unstemmed | Alerts in Clinical Decision Support Systems (CDSS): A Bibliometric Review and Content Analysis |
title_short | Alerts in Clinical Decision Support Systems (CDSS): A Bibliometric Review and Content Analysis |
title_sort | alerts in clinical decision support systems (cdss): a bibliometric review and content analysis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9028311/ https://www.ncbi.nlm.nih.gov/pubmed/35455779 http://dx.doi.org/10.3390/healthcare10040601 |
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