JMIR Nursing

Background: The COVID-19 pandemic disrupted nursing education globally, particularly clinical practicums, reducing opportunities for hands-on learning. Newly graduated nurses have reported increased stress, reduced confidence, and a higher risk of burnout. However, few studies have examined the long-term mental health effects of these disruptions.

The integration of artificial intelligence (AI) in healthcare is changing nursing practice, and it calls for the acquisition of AI literacy by students, which includes knowledge, skills, and attitudes. An understanding of the effect of AI literacy on the well-being and empowerment of students is crucial in guiding effective educational strategies.

African Americans are disproportionately impacted by congestive heart failure (CHF). The impact includes a two and a half times greater hospitalization rate and a fourth of a day longer length of hospitalization than Caucasians, of which nursing care has been associated with nearly a 30% decrease in hospitalizations and readmissions. Prior studies have demonstrated that registered nurses (RNs), working in conjunction with electronic health record systems (EHRs) to conduct care tasks, may optimize length of stay in African Americans with CHF.

Home-visiting nurses have difficulty selecting appropriate pressure injury (PI) management despite using clinical practice guidelines in various home-visiting settings. Clinical decision support systems (CDSS) can help home-visiting nurses’ decision-making.

A significant gap exists among health professionals regarding telehealth due to limited knowledge and varying perceptions. This disparity is particularly pronounced in developing regions, where numerous barriers hinder its implementation.

Handovers represent a critical moment for patient safety, where the effective transfer of information between nurses is essential. In this context, digital documentation systems such as IDEAS (Identification, Diagnosis, Evolution, Activities, Support) have been implemented to standardize and enhance the quality of clinical handovers.

Health-smart home technologies offer real-time sensor-based monitoring of older adult activities of daily living, allowing for early detection of changes in health. How clinicians interpret and this data, particularly in visualized formats such as bar, line, and pie graphs, remains under-explored.

Background: Already in 2017, Israel's health organizations established intra-organizational social media communities, believing they serve as a tool that would enable people to share experiences across regional boundaries. However, conducting preliminary studies and analyzing the findings to determine how they affected the employees' experience was never part of this effort.

The COVID-19 pandemic exposed systemic vulnerabilities in public health infrastructure, underscoring the urgency for innovation in disease surveillance and emergency response. Artificial intelligence (AI) has emerged as a promising tool to enhance the accuracy, efficiency, and scalability of public health interventions. Yet, there remains limited understanding of how AI has been applied in real-world infectious disease control, and who is contributing to its development and implementation.

As Artificial Intelligence (AI) technology permeates healthcare settings, nurse leaders must position themselves to shape its development, implementation, and impact, guiding meaningful change that benefits nurses and care delivery. Nurse leaders possess the capacity to influence decisions, shape practice, and ensure the delivery of ethical, safe, and high-quality care. While AI technology is reshaping many aspects of healthcare delivery, there is limited knowledge on how nurse leaders perceive and experience this shift.

eHealth technologies have shown promise in improving the accessibility and quality of nursing research and practice. Less is known about nurses' perception of eHealth technology that are prerequisites for the implementation of eHealth-based nursing care.

Internet hospitals and Internet + nursing service have recently emerged as new medical and nursing care models, respectively. Both use Internet-based information platforms and combine online applications and offline services to provide appropriate services. The rapid growth in the number of Internet hospitals in China has given rise to the Internet hospital plus home nursing service model. Research on this new model is limited, and the effectiveness of its implementation remains to be clarified.