Aim: To describe hospital nurse leaders' experiences with digital technologies.Design: A qualitative descriptive study.Methods: Semi-structured focus group interviews in one university-affiliated hospital in Finland. Data were collected from October to November 2021 and analysed using content analysis an e-leadership framework.Results: A total of 20 frontline nurse leaders and middle-managers participated.Leaders had different kinds of experiences that concerned their traits, cognition, affect and behaviour with digital technologies. Leaders experienced that they needed to be open-minded towards digitalization, which sometimes eased their work by making it more efficient. Occasionally, they also got frustrated with digitalization, which caused them stress. Leading digital technologies required collaboration with several different stakeholders, and leaders were especially responsible for ensuring nurses' digital competence. Also, leaders own digital capability was highlighted, although some leaders experienced that their digital capability was low. Conclusion:The e-leadership framework is useful for describing the conduct of leadership roles in the context of digital services. Digitalization has transformed leadership, yet nurse leaders' education and training do not seem to have been sufficiently modified to these rapid changes. In addition, more attention should be given to how nurse leaders can be distressed by digitalization. Impact:This study provides insight into leadership in the context of digitalized specialized medical care based on nurse leaders' direct statements. Furthermore, the results highlight nurse leaders' educational needs concerning digitalization. Adequately educating nurse leaders to become e-leaders is crucial to successful digitalization in the nursing domain.
Aim To describe nurse leaders' and digital service developers' perceptions of the future role of artificial intelligence (AI) in specialized medical care. Background Use of AI has rapidly increased in health care. However, nurse leaders' and developers' perceptions of AI and its future in specialized medical care remain under‐researched. Method Descriptive qualitative methodology was applied. Data were collected through six focus groups, and interviews with nurse leaders (n = 20) and digital service developers (n = 10) conducted remotely in 2021 at a university hospital in Finland. The data were subjected to inductive content analysis. Results The data yielded 25 sub‐categories, 10 categories and three main categories of participants' perceptions. The main categories were designated AI transforming: work, care and services and organizations. Conclusions According to our respondents, AI will have a significant future role in specialized medical care, but it will likely reinforce, rather than replace, clinicians or traditional care. They also believe that it may have several positive consequences for clinicians' and leaders' work as well as for organizations and patients. Implications for nursing management Nurse leaders should be familiar with the potential of AI, but also aware of risks. Such leaders may provide betters support for development of AI‐based health services that improve clinicians' workflows.
Due to the rapid digitalization of healthcare, it is important to strengthen professionals’ digital competence, particularly to support older professionals to stay in work until retirement age. People of different ages have different digital competencies. Younger generations are ‘digital natives’ who have learned to use digital devices fluently from a young age, while older generations have had to learn to use them in adulthood. The increasing number of new technologies causes in some cases stress, especially for more older healthcare workers. Intergenerational learning methods for developing digital competence may offer a way to narrow digital competence gaps in healthcare. The aim of this scoping review was to identify current evidence regarding intergenerational learning methods for developing digital competence, and their outcomes. The results can be used to help develop methods for intergenerational digital competence development and improve healthcare professionals’ digital competence. A scoping review was conducted across four databases (Scopus, CINAHL, Web of Science, ProQuest) without time limits. The search produced 2905 references, of which 23 studies are included in the review. Thematic analysis was used to analyze these studies’ results. The results showed that a key method for intergenerational digital competence development is reverse mentoring, where a less experienced person serves as a mentor to a more experienced one. Intergenerational digital competence development methods can be done one-on-one or in groups, in classes or on digital platforms. The outcomes of these methods illustrated that they promote mutual learning, increase the digital competence of older adults and the work life skills of young mentors, and narrow the gap between generations. Using such methods, it is possible to make better use of each generation’s expertise. Intergenerational learning could suggest ways of narrowing the digital gap and enhancing intergenerational communication. Healthcare could benefit from implementing intergenerational learning methods for developing digital competence, increasing the digital competence of healthcare professionals, and narrowing the gap between generations.
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