Objective:To provide reference for the development of a more intelligent and systematic nursing clinical decision support system based on the concept of precision nursing and data sharing, the nursing plan module of clinical decision support system.Methods:An evidence-based knowledge base was constructed based on the nursing process and the standardized nursing terminologies; the nursing plan module was designed according to clinical needs, and the logical reasoning rules were formulated from the generation, sequencing and stopping of nursing problems, objectives, measures and activities, and finally the nursing plan module of clinical decision support system was formed.Results:The nursing plan module of clinical decision support system included the basic information of patients, positive evaluation items and weight values, nursing problems, objectives, measures and activities, etc. the module could automatically deduce the nursing plan according to the patient's individual characteristic index (positive evaluation item), and sort the nursing problems and corresponding measures and activities according to the generation time, weight value and correlation degree. It could automatically distinguish nursing problems, goals, measures and the time of activity stop, and realize intelligent decision-making.Conclusion:The interface of nursing plan module of this system is clear and logical reasoning rules are rigorous. It breaks through the bottleneck of nursing decision-making based on personal professional knowledge and experience in clinical situation for a long time, which can ensure the homogeneity of nursing plan and improve the correctness of decision-making.

Objective:To design and develop an unplanned extubation clinical decision support system, aiming to provide a reference for nurses' clinical decision-making.Methods:Through literature review and expert consultation, the knowledge base of the clinical decision support system for unplanned extubation was constructed, and the system function and interface were designed.Results:The authoritative coefficients of the two rounds of expert consultation were 0.853 and 0.867, respectively, and the Kendall ′s W were 0.458 and 0.492, respectively. The final built knowledge base included catheter evaluation module, unplanned extubation evaluation module, and knowledge reasoning rule module. At present, the knowledge base had sorted out 48 first-level items, 9 second-level items, 72 third-level items in the catheter evaluation module, and 5 first-level items, 12 second-level items, and 73 third-level items in the unplanned extubation evaluation module. Entry, 40 knowledge reasoning rules. Conclusions:The clinical decision-making system for unplanned extubation has changed the implementation of unplanned extubation risk early warning, optimized the management process, and realized the interaction of the hospital system. It can conduct dynamic unplanned extubation risk assessment based on individualization and assist nurses Make clinical decisions and promote the safety of nursing management.

Objective:To explore research trends in the field of heart failure nursing.Methods:Web of Science database was searched and there trieval year was set to January 2000 to October 2020. CiteSpace software was used to visualize and quantitatively analyze the retrieval results.Results:A total of 2 352 articles were included. The number of articles published on heart failure nursing showed a continuous rise, and the highest number of articles issued was in 2018.The Journal with the highest number of publications was Journal of Clinical Nursing, the author with the highest number of publications was Tiny Jaarsm, the country with the highest number of publications was the United States, and the influential institution was University of Pennsylvania.Research hotspots mainly focused on management, outcome, mortality, quality of life, readmission, risk, hospitalization, survival, depression and palliative care. Conclusions:Visualization analysis shows the research trend in the field of heart failure nursing research, transitional nursing and community nursing are still the focus of future research.The visual analysis shows the research trend in the field of heart failure nursing, and transitional nursing and community nursing are still the research hotspots in the future.

Objective To investigate the clinical efficacy of our self-designed sight used to guide thoracic vertebroplasty.Methods A retrospective analysis was conducted of the 52 patients (70 thoracic vertebrae) who had undergone percutaneous vertebroplasty (PVP) (n =36)or percataneous kyphoplasty (PKP) (n =34) of T1-T4 vertebral bodies at Department of Orthopaedics,The First Affiliated Hospital to Zhengzhou University form August 2012 to October 2013.The operation time,intraoperative bleeding,intraoperative radiation by C-arm roentgenography,and visual analogue scale (VAS) were compared between the patients whose surgery had been guided by our self-designed sight and those whose surgery had been not.Results All the patients were followed up for 18 to 36 months (average,22.3 months).Compared with those who had not used the sight,the patients who had used the sight incurred significantly shorter operation time (16.5 ± 3.2 min versus 26.5 ± 3.7 min),significantly less intraoperative bleeding (2.8 ± 1.3 mL versus 6.3 ± 1.7 mL) and significantly less radiation by C-arm roentgenography (5.6 ± 3.3 times versus 9.4 ± 3.1 times) (P ＜0.05).The VAS scores at postoperative 3 days and final follow-up were significantly decreased than the preoperative values in all the patients (P ＜ 0.05).There were no significant differences between the patients who had used the sight and those who had not in the the VAS scores at postoperative 3 days or final follow-up (P ＞ 0.05).Conclusions The upper thoracic PVP or PKP guided by our self-designed sight has theadvantages of short operation time,less intraoperative bleeding and less frequency of C-arm radiation.The sight is suitable for various vertebroplasties.

Objective:To introduce the construction process and results of the knowledge base in Nursing Decision Support System (NDSS) of the First Affiliated Hospital with Nanjing Medical University, in order to provide references for the development of nursing knowledge base.Methods:From July 2018 to March 2020, based on the "Knowledge Development Process" model, a knowledge base of NDSS covering the entire nursing process was constructed through literature review, expert meetings, and expert consultation methods.Results:The authority coefficients of two rounds of expert consultation were 0.875 and 0.925, and Kendall coordination coefficients were 0.464 and 0.534. The final built knowledge base includes nursing assessment module, nursing problem module, nursing goal module, nursing measure module, nursing activity module and matching rule module. Up to now, the knowledge sorted out 2 213 nursing assessments, 46 nursing questions, 67 nursing goals, 233 nursing goal measurement indexes, 183 nursing measures, 4 783 nursing activities and 3 332 matching rules.Conclusions:The construction process of the NDSS knowledge base has rules to follow and the content can cover the whole process of the nursing procedure. It focuses on the quantitative classification of nursing evaluation and nursing goals, as well as the individualization and pertinence of nursing measures, which can provide references for the development of clinical nursing knowledge base.

Objective:To analyze the research status and trend hotspots of nurses' emotional labor at home and abroad.Methods:The core journals related to nurses' emotional labor were systematically searched from CNKI, Wanfang, VIP and Web of Science from establishment of the databases to September 30, 2022. CiteSpace 6.1.R3 was used for visual analysis.Results:A total of 281 domestic research papers and 437 international research papers were included in the analysis, and the publication time was from 2004 to 2022. The number of papers in the field of emotional labor for nurses at home and abroad showed an increasing trend. The main international research hotspots included turnover intention, job engagement, leadership, etc. Research in China mainly focused on job performance, coping styles and job burnout.Conclusions:China has not yet formed a high-quality core group of institutions and research teams in the field of emotional labor for nurses. The next step should be to actively promote the diversified development of research on emotional labor for nurses in China, thereby enhancing the depth and breadth of research in this field.