JMIR Nursing

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.

Mobile health (mHealth) applications enhance clinical nursing by improving access to resources and patient care. Further benefits include reduced errors, time savings, better communication, cost reduction, and training. Understanding factors driving nurses' continued mHealth adoption is key to its sustained success.

Hypertension is a prevalent concern among older adults, often leading to complex cardiovascular complications when uncontrolled. Tele-nursing technology facilitates self-management, and the integration of domain-specific ontology allows real-time interpretation of behavioral and biometric data to provide personalized recommendations, enhancing patient engagement and self-care.

Clinical simulation with standardized patients facilitates nursing students' first approach to care in a safe and realistic environment. This type of experience arouses intense emotions and favors the development of key competencies.

The study aimed to adapt a stress and well-being intervention delivered via a mobile health (mHealth) app for Latinx Millennial caregivers. This demographic, born between 1981 and 1996, represents a significant portion of caregivers in the United States, with unique challenges due to higher mental distress and poorer physical health compared to non-caregivers. Latinx Millennial caregivers face additional barriers, including higher uninsured rates and increased caregiving burdens.

"Internet Plus Nursing Service" (IPNS) offers innovative solutions for China's growing home healthcare demands. Understanding primary care nurses' participation intentions is crucial for service optimization.

The integration of artificial intelligence (AI) into healthcare is set to revolutionize the sector, offering opportunities to enhance diagnostic accuracy, personalize treatment, and improve patient outcomes. However, little is known about nurses’ readiness to integrate AI into their professional practice.

The implementation of welfare technologies, a broad array of technologies that have the potential to maintain or improve individuals’ safety, independence, and participation, has increased rapidly in recent years, offering new ways of delivering care. However, studies of welfare technology use in the social care sector are scarce.

Large Language Models (LLMs) are increasingly used in nursing education, yet their conceptual foundations remain abstract and underexplored. This concept analysis addresses the need for clarity by examining the relevance, meaning, contextual applications, and defining attributes of LLMs in nursing education, using Rodgers’ evolutionary method.

Although mobile health applications integrated with Internet of Things-enabled devices are increasingly used to satisfy the growing needs for home-based elderly care resulting from rapid population aging, their effectiveness is constrained by three key challenges: a focus on specific functions rather than holistic and integrated support, absence of a solid theoretical framework for development, and a lack of personalized, real-time feedback to address diverse care needs. To overcome these limitations, we developed a knowledge-based Clinical Decision Support System using mobile health technology – an Intelligent and Integrated Elderly Care Model (SMART system).

Global healthcare systems are under increasing strain due to aging populations, workforce shortages, and rising patient complexity. In response, automation technologies are being explored as a means to optimize nursing workflows, reduce burdens, and improve patient outcomes. However, the integration of such technologies raises complex ethical, legal, and professional considerations that remain insufficiently addressed in current literature.