Clinical decision support systems for chronic diseases: A Systematic literature review

2020 ◽  
Vol 195 ◽  
pp. 105565 ◽  
Author(s):  
Leonice Souza-Pereira ◽  
Nuno Pombo ◽  
Sofia Ouhbi ◽  
Virginie Felizardo ◽  
Nuno Garcia
Keyword(s):  
Decision Support ◽  
Literature Review ◽  
Decision Support Systems ◽  
Chronic Diseases ◽  
Clinical Decision Support ◽  
Systematic Literature Review ◽  
Support Systems ◽  
Clinical Decision Support Systems ◽  
Clinical Decision

scholarly journals Clinical Decision Support Systems for Diagnosis in Primary Care: A Scoping Review

2021 ◽  
Vol 18 (16) ◽  
pp. 8435
Author(s):  
Taku Harada ◽  
Taiju Miyagami ◽  
Kotaro Kunitomo ◽  
Taro Shimizu
Keyword(s):  
Primary Care ◽  
Decision Support ◽  
Decision Support Systems ◽  
Chronic Diseases ◽  
Clinical Decision Support ◽  
Scoping Review ◽  
Support Systems ◽  
Diagnostic Errors ◽  
Clinical Decision Support Systems ◽  
Clinical Decision

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.

Architectures for Architects

1993 ◽  
Vol 32 (01) ◽  
pp. 12-13 ◽  
Author(s):  
M. A. Musen
Keyword(s):  
Decision Support ◽  
Decision Support Systems ◽  
Clinical Decision Support ◽  
Support Systems ◽  
Clinical Decision Support Systems ◽  
Clinical Decision ◽  
Design And Development

Abstract:Response to Heathfield HA, Wyatt J. Philosophies for the design and development of clinical decision-support systems. Meth Inform Med 1993; 32: 1-8.

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