Aim To describe and synthesize scientific literature on nurse managers’ competencies. Background The key strategy for the success of health organizations currently resides in the capacity of the nurse manager to develop advanced competencies in management. However, there is a lack of systematic reviews that synthesize knowledge about nurse managers’ competencies. Evaluation A scoping review was conducted using electronic databases including Web of Science, Scopus, PubMed, and CINAHL. Key issues After the first analysis, 392 competencies were observed from 76 studies. Finally, 53 competencies were grouped according to their characteristics. The 2 most cited competencies were communication and finance. Conclusions Knowing the competencies required by nurse managers can help organizations create strategies to develop competent managers. In addition, from the results we can infer what might be the core competencies, since 22 main competencies from the total number were identified. Implications for Nursing Management The competencies identified constitute the body of knowledge necessary for nurse managers. In addition, it is possible to generate a pathway for learning and professional development for nurses before they work at the micro level of management, and the starting point for this pathway should be the 22 core competencies.

Aim: To describe the use of artificial intelligence (AI) by nurse managers to enhance management, leadership, and healthcare outcomes.Background: AI represents a significant transformation in healthcare management by enhancing decision‐making, communication, and resource optimization. However, the integration and strategic application of AI in nursing management are underexplored, particularly regarding its impact on leadership roles and healthcare delivery.Methods: Methodological guidelines described by PRISMA were followed, and quality was assessed using the Joanna Briggs Institute (JBI) methodology. The databases searched included the Web of Science, Scopus, CINAHLi, and PubMed. The review included quantitative, qualitative, and mixed‐method studies published between January 2015 and April 2024.Results: Fourteen studies were selected for the review. The key findings indicate that AI technologies facilitate better resource management, risk assessment, and decision‐making. AI also supports nurse managers in leading changes, enhancing communication, and optimizing administrative tasks.Conclusion: AI has been progressively integrated into nursing management, demonstrating significant benefits in operational efficiency, decision support, and leadership enhancement. However, challenges, such as resistance to technological change and ethical complexities, need to be addressed.Implications for Nursing Management: Specific training programs for nurse managers are essential to optimize the integration of AI. Such programs should focus on the management of AI applications and data analyses. In addition, creating interdisciplinary groups involving nurse managers, AI developers, and nursing staff is crucial for tailoring AI solutions to meet the unique needs of healthcare settings.

The use of artificial intelligence tools, such as ChatGPT, is on the rise in nursing education. In the field of healthcare, ChatGPT can offer unique opportunities to enhance the learning and clinical practice of nursing students. However, it is still necessary to explore how this tool affects students' performance and perception in their nursing education. The objective of this study was to evaluate the impact of ChatGPT on nursing students' education and determine how it influences their learning outcomes. This study employed a quantitative cross-sectional design. The study was conducted in the Bachelor of Nursing program at the University of León, Spain. Ninety-eight nursing students enrolled in the Nursing Care and Services Management course during the second semester of 2024 participated in the study. Data were collected using three validated questionnaires that assessed sociodemographic characteristics, knowledge of artificial intelligence, and perceptions of using ChatGPT as an educational tool. The data were analyzed using IBM SPSS Statistics, version 29.1. Students who used ChatGPT showed a significant improvement in their academic grades (p < 0.05). Additionally, 89.5 % of the students reported significant improvements in their academic performance. Women perceived ChatGPT as especially useful for completing academic tasks (85.14 % versus 50.00 % in men, p = 0.003). A positive correlation was observed between prior use of ChatGPT and GPA (ρ = 0.240, p = 0.026). ChatGPT is a valuable tool that enhances the learning and satisfaction of nursing students. Its integration into nursing education programs not only boosts academic performance but also promotes the adoption of technological innovations in professional training. Continuous incorporation of AI tools in education is recommended to improve academic outcomes and prepare students for evolving healthcare environments.

Aim. Identify the characteristics of leadership competency for the nurse manager and describe the most cited leadership styles in the literature. Background. Leadership is a fundamental competency for nurse managers, as it plays an important role in the healthcare environment to achieve Sustainable Development Goals and promote people‐centered organizations. Therefore, understanding the characteristics of leadership and the leadership style to be employed is important. Methods. A scoping review was conducted from January 2009 to January 2024 using the design of González Garcia et al., the Arksey and O’Malley framework, and databases including Web of Science, Scopus, and PubMed. Articles reporting on the characteristics of leadership for nurse managers were reviewed. The authors performed the review based on a search syntax, inclusion and exclusion criteria, and the data extraction process. Results. Sixty‐two studies were included in the final review. The review identified 38 characteristics related to leadership competency, among which we highlighted caring for nurses as individuals, being a visionary, knowledgeable, a change agent, and a communicator. This review highlights the prevalence of transformational leadership, which constitutes 69.57% of the leadership styles cited, and underscores its pivotal role in improving the work environment, effectiveness in nursing care, conflict management, team commitment, and adaptability to change within healthcare settings. Conclusions. The most commonly cited characteristics of leadership include caring for the team, effective communication, and a vision for change. Transformational, people‐centered, and motivational leadership is the most appropriate style. Implications for Nursing Management. The characterization of leadership competency will allow the development of training adapted to the current requirements for nursing leaders. This training could be developed in simulation and virtual reality environments. It also allows for a deeper understanding of how leadership competency affects teams and their functioning.

Background: Nurses capable of adequately developing their competencies in the management field are essential for the sustainability of health‐care organizations. Such competencies should be included in a model of specific competencies.Aim: The aim of this research is to propose a competency model for nurse executives.Methods: The Delphi method was applied to reach a consensus on the required competencies, and Principal Component Analysis (PCA) was applied to determine the construct validity and reduce the data set's dimensionality. Consensus was defined based on at least 80% of the experts agreeing with the proposed competencies. For each competency, the development levels were beginner, advanced beginner, competent, highly competent and expert.Results: From among the 51 competencies that were identified to define a model for nurse executives, decision‐making, leadership and communication stood out. The PCA indicated the structural validity of the proposed model by saturation of the principal components (Cronbach's α > 0.631).Conclusion: Nurses wishing to develop their professional careers as nurse executives must first develop the competencies shown in the proposed model. Nurse executives should follow the educational programmes specified in this study, to adapt their knowledge to this role's requirements.

Objective: The purpose of this scoping review is to describe the characteristics of the decision‐making competency of nurse managers. In addition, this review analyzes how technological, organizational, and contextual factors influence the development and practical application of this competency and identifies the key barriers and facilitators that specifically impact its growth and use in managerial practice. Background: Nurse managers’ decision‐making abilities are essential for organizational performance in rapidly evolving healthcare systems. Despite its relevance, the specific characteristics that define this competency have not been thoroughly examined. Following our research methodology, we searched the Web of Science, Scopus, CINAHL, and PubMed electronic databases, focusing on the decision‐making characteristics of nurse managers between January 2009 and February 2025. Results: Twenty‐five studies were included, identifying 15 core characteristics that define nurse managers’ decision‐making competency. The most frequently reported characteristics were professional values and ethics, information processing, systems and data management, and risk management. Technology was consistently identified as a critical facilitator of decision‐making, enabling efficient information access and analysis. Conversely, high levels of stress and the complexity of healthcare environments were identified as the primary barriers to effective decision‐making. Conclusions: Strengthening decision‐making competency in nurse managers requires the development of ethical reasoning, data literacy, systems thinking, and risk evaluation. Technological proficiency is essential to enhance decision quality, while organizational stressors must be managed to reduce cognitive load and improve performance. Implications for Nursing Management: These findings support the design of targeted training programs, particularly those using simulation and virtual reality, focused on strengthening decision‐making competency, a critical skill for effective nursing management. Developing this competency enhances nurse managers’ ability to navigate complex clinical and organizational challenges, make ethically sound decisions, and lead their teams with greater confidence and strategic insight.