Visualization analysis on hotspots research based on CiteSpace for patient classification system in China
Objective To analyze the current development status,research hotspots and future development trends of patient classifica-tion system in China,so as to provide theoretical references for further research and development.Method By used China National Knowl-edge Infrastructure(CNKI),Wanfang Medical Network,and VIP Chinese Journal Full text Database as sources,search for relevant literature in the field of nursing grading from the establishment of the database until May 3,2024,and used CiteSpace software to visually analyzed the publication volume,authors and keywords of the literature.Results A total of 1 149 articles were retrieved,and the overall annual publication volume showed an increasing trend.The author's collaborative network graph was mainly represented by the BAI Yamei's team.The hotspot ar-eas of nursing grading research in China mainly focued on the refinement of grading criteria,personalized grading of nursing service recipi-ents,and innovation in patient classification system.The combination of machine learning,psychological care and nursing grading were the fu-ture research trend.Conclusion These findings offer a vigorous roadmap for further studies in this field.Researchers are suggested to promote inter-institutional cooperation and exchanges in order to enhance the quality of articles in terms of innovation and depth.
万方数据
维普
