TY - JOUR
T1 - Alerts in Clinical Decision Support Systems (CDSS)
T2 - A Bibliometric Review and Content Analysis
AU - Chien, Shuo Chen
AU - Chen, Ya Lin
AU - Chien, Chia Hui
AU - Chin, Yen Po
AU - Yoon, Chang Ho
AU - Chen, Chun You
AU - Yang, Hsuan Chia
AU - Li, Yu Chuan
N1 - Publisher Copyright:
© 2022 by the authors. Licensee MDPI, Basel, Switzerland.
PY - 2022/4
Y1 - 2022/4
N2 - 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.
AB - 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.
KW - alert fatigue
KW - bibliometrics
KW - clinical
KW - decision support systems
KW - health personnel
KW - medical order entry systems
KW - review literature as topic
UR - http://www.scopus.com/inward/record.url?scp=85127646771&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85127646771&partnerID=8YFLogxK
U2 - 10.3390/healthcare10040601
DO - 10.3390/healthcare10040601
M3 - Article
AN - SCOPUS:85127646771
VL - 10
JO - Healthcare (Switzerland)
JF - Healthcare (Switzerland)
IS - 4
M1 - 601
ER -
