Clinical Decision Support Systems Research in Nursing: A Visual Survey

作者：Lan Qin, Yi Zhu, Chong Bin Liu, Rui Wang, XI Ren Gao, Ping Ping Chen · 发表于：Research Square · 年份：2022 · DOI：10.21203/rs.3.rs-1929664/v1 · 被引用次数：1 · 研究领域：Artificial Intelligence in Healthcare and Education、Artificial Intelligence in Healthcare、Electronic Health Records Systems

Abstract Background： Artificial intelligence (AI) has a big impact on healthcare now and in the future. Nurses, representing the largest proportion of healthcare workers, are set to benefit greatly from this technology. AI-Enabled Clinical Decision Support Systems has received a great deal of attention recently. Bibliometric analysis can offer an objective, systematic, and comprehensive analysis of specific field with a vast background. However, no bibliometric analysis has investigated AI-Enabled Clinical Decision Support Systems research in Nursing. Objective: To determine the characteristics of articles about the global performance and development of AI-Enabled Clinical Decision Support Systems research in Nursing. Methods: In this study, the bibliometric approach was used to estimate the searched data on Clinical Decision Support Systems research in Nursing from 2009 to 2022, and we also utilized CiteSpace and VOSviewer software to build visualizing maps to assess the contribution of different journals, authors, et al, as well as to identify research hot spots and promising future trends in this research field. Result: From 2009 to 2022, a total of 2159 publications were retrieved. The number of publications and citations on AI-Enabled Clinical Decision Support Systems research in Nursing has increased obviously in the last years. However, They are understudied in the field of nursing and there is a compelling need to development more more high-quality research. Conclusio...