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Clinical Decision Support Systems for Diagnosis in Primary Care: A Scoping Review
Diagnosis is one of the crucial tasks performed by primary care physicians; however, primary care is at high risk of diagnostic errors due to the characteristics and uncertainties associated with the field. Prevention of diagnostic errors in primary care requires urgent action, and one of the possib...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8391274/ https://www.ncbi.nlm.nih.gov/pubmed/34444182 http://dx.doi.org/10.3390/ijerph18168435 |
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author | Harada, Taku Miyagami, Taiju Kunitomo, Kotaro Shimizu, Taro |
author_facet | Harada, Taku Miyagami, Taiju Kunitomo, Kotaro Shimizu, Taro |
author_sort | Harada, Taku |
collection | PubMed |
description | Diagnosis is one of the crucial tasks performed by primary care physicians; however, primary care is at high risk of diagnostic errors due to the characteristics and uncertainties associated with the field. Prevention of diagnostic errors in primary care requires urgent action, and one of the possible methods is the use of health information technology. Its modes such as clinical decision support systems (CDSS) have been demonstrated to improve the quality of care in a variety of medical settings, including hospitals and primary care centers, though its usefulness in the diagnostic domain is still unknown. We conducted a scoping review to confirm the usefulness of the CDSS in the diagnostic domain in primary care and to identify areas that need to be explored. Search terms were chosen to cover the three dimensions of interest: decision support systems, diagnosis, and primary care. A total of 26 studies were included in the review. As a result, we found that the CDSS and reminder tools have significant effects on screening for common chronic diseases; however, the CDSS has not yet been fully validated for the diagnosis of acute and uncommon chronic diseases. Moreover, there were few studies involving non-physicians. |
format | Online Article Text |
id | pubmed-8391274 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-83912742021-08-28 Clinical Decision Support Systems for Diagnosis in Primary Care: A Scoping Review Harada, Taku Miyagami, Taiju Kunitomo, Kotaro Shimizu, Taro Int J Environ Res Public Health Review Diagnosis is one of the crucial tasks performed by primary care physicians; however, primary care is at high risk of diagnostic errors due to the characteristics and uncertainties associated with the field. Prevention of diagnostic errors in primary care requires urgent action, and one of the possible methods is the use of health information technology. Its modes such as clinical decision support systems (CDSS) have been demonstrated to improve the quality of care in a variety of medical settings, including hospitals and primary care centers, though its usefulness in the diagnostic domain is still unknown. We conducted a scoping review to confirm the usefulness of the CDSS in the diagnostic domain in primary care and to identify areas that need to be explored. Search terms were chosen to cover the three dimensions of interest: decision support systems, diagnosis, and primary care. A total of 26 studies were included in the review. As a result, we found that the CDSS and reminder tools have significant effects on screening for common chronic diseases; however, the CDSS has not yet been fully validated for the diagnosis of acute and uncommon chronic diseases. Moreover, there were few studies involving non-physicians. MDPI 2021-08-10 /pmc/articles/PMC8391274/ /pubmed/34444182 http://dx.doi.org/10.3390/ijerph18168435 Text en © 2021 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 | Review Harada, Taku Miyagami, Taiju Kunitomo, Kotaro Shimizu, Taro Clinical Decision Support Systems for Diagnosis in Primary Care: A Scoping Review |
title | Clinical Decision Support Systems for Diagnosis in Primary Care: A Scoping Review |
title_full | Clinical Decision Support Systems for Diagnosis in Primary Care: A Scoping Review |
title_fullStr | Clinical Decision Support Systems for Diagnosis in Primary Care: A Scoping Review |
title_full_unstemmed | Clinical Decision Support Systems for Diagnosis in Primary Care: A Scoping Review |
title_short | Clinical Decision Support Systems for Diagnosis in Primary Care: A Scoping Review |
title_sort | clinical decision support systems for diagnosis in primary care: a scoping review |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8391274/ https://www.ncbi.nlm.nih.gov/pubmed/34444182 http://dx.doi.org/10.3390/ijerph18168435 |
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