Clinical Decision Support Systems for Diagnosis in Primary Care: A Scoping Review.
clinical decision support systems
diagnostic accuracy
health information technology
primary care
Journal
International journal of environmental research and public health
ISSN: 1660-4601
Titre abrégé: Int J Environ Res Public Health
Pays: Switzerland
ID NLM: 101238455
Informations de publication
Date de publication:
10 08 2021
10 08 2021
Historique:
received:
25
06
2021
revised:
29
07
2021
accepted:
04
08
2021
entrez:
27
8
2021
pubmed:
28
8
2021
medline:
4
9
2021
Statut:
epublish
Résumé
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.
Identifiants
pubmed: 34444182
pii: ijerph18168435
doi: 10.3390/ijerph18168435
pmc: PMC8391274
pii:
doi:
Types de publication
Journal Article
Review
Langues
eng
Sous-ensembles de citation
IM
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