Abstract
Clinical decision support systems are computer systems that help decision-makers make effective and efficient decisions in the diagnosis and treatment of diseases, patient care, and health institution management. In this study, descriptive and bibliometric analyses were carried out of studies on clinical decision support systems conducted between 2016 and 2021 in journals included in the Web of Science database. In the first stage, the distribution of the articles was determined according to the publication year, country, institution, journal and citation numbers within the scope of descriptive analysis. In the second stage, within the scope of bibliometric analysis, co-author-institution, co-citation-author, co-citation-country and common keyword analysis of the articles were made. As a result of the research, 8052 articles on clinical decision support systems were reached. It was observed that the country with the most studies on this subject are the United States and the institution is Harvard University. It was seen that the journal with the highest number of articles was PLoS ONE. In addition, co-citations, institutional and country collaborations between authors are presented with visual maps. The purpose of this study is to present the studies on clinical decision support systems in a systematic framework and to provide a broad perspective to the researchers and field experts working on this subject.
Highlights
Decision support systems are computer-based systems that help people make efficient decisions when solving complex problems
Clinical decision support systems (CDSS) is a field of study that is directly related to the branches of science such as medicine, informatics, pharmacy, and management
International publications obtained in accordance with the search criteria on clinical decision support systems on the Web of Science (WoS) database were analyzed using the bibliometric analysis method
Summary
Decision support systems are computer-based systems that help people make efficient decisions when solving complex problems. CDSSs are computer systems that create stimulating and directive output by processing the health data of patients, making it easier to carry out correct medical procedures, and provide quality health services to patients (Yılmaz & Özdemir, 2017). These systems include prescriptions, drug dose calculations, patient-disease data, and some related automatic alert/reminder functions (Bright et al, 2012). The input of the CDSS is a knowledge base of medical expertise and patient data, while its output is the diagnosis of the disease or potential decisions for treatment. CDSSs are categorized according to purpose and function as follows (Yıldız et al, 2020; Wright et al, 2011):
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