Cin-Computers Informatics Nursing最新文献

The use of technology in healthcare and healthcare education settings has increased rapidly across the United States and accelerated due to the COVID-19 pandemic. However, perceptions of new technologies in clinical nursing and nursing education are not well understood. Yet, understanding perceptions of registered nurses and nursing students toward advanced technology and artificial intelligence in clinical care and education is crucial if we are to implement these care delivery and educational innovations. This literature review investigates existing literature on registered nurses' and nursing students' attitudes toward advanced technology and artificial intelligence in nursing, including nursing education. Ten peer-reviewed studies published between 2017 and 2022 were reviewed. Findings revealed positive perceptions, such as improved patient care, efficiency, and reduced human error, but also concerns about job displacement, loss of human touch, and ethical/legal issues. Challenges in implementation, adequate training in technologies, and how technologies may reduce the human connection aspect of nursing care were identified. By recognizing the attitudes and perceptions of registered nurses and nursing students toward these advanced technologies, we can better ensure that it is ethically, effectively, and responsibly integrated into nursing practice and education.

Nursing shortages are a significant problem that affects healthcare access, outcomes, and costs and challenges the delivery of care in hospitals. The virtual nursing delivery model enables the provision of expert nursing care from a remote location, using technology such as audio/video communication, remote monitoring devices, and access to the electronic health record. However, little is known about the structure and processes supporting the implementation of virtual nursing in healthcare systems. This study examined the requirements for implementing a virtual nursing care team by characterizing the structure and processes of virtual nursing, using the Donabedian framework. The study conducted an observational and qualitative evaluation of a virtual nursing care team at a major Southeastern health center in the United States. The study found that key aspects for implementing a virtual nursing program include the number of available virtual nurses per shift, the availability of appropriate virtual nursing equipment, the physical layout of the virtual nursing center, the training of virtual nursing nurses on best practices of virtual encounters, simultaneous use of electronic health record, creation, and training of nurses on policies and procedures such as escalation of technical issues, and available support resources for problem resolution. The study provides valuable insights into the structure and processes of virtual nursing care that can be used to improve healthcare delivery and address nursing shortages.

A nurse-led interprofessional clinic adopted the use of remote patient monitoring (RPM) for glucose monitoring to better serve their patient population of uninsured patients with uncontrolled diabetes. The adoption of the RPM system required an infrastructure design to connect multiple data points and adapt to the needs of the clinic's unique patient population for a seamless provider and patient experience. Implementation requirements were addressed in three phases: protocol adaptation, enrollment workflow, and clinic management of RPM patients.

Critical care nurses, who are at the frontline of recognizing and answering alarms, face various challenges while undertaking this task. The purpose of this qualitative study is to gain more insight into the experiences of critical care nurses working with medical equipment alarms. A qualitative, descriptive design was used to explore this area. Fifteen critical care nurses, recruited using purposive sampling, participated in semistructured interviews. These were recorded and coded, and data were analyzed using content analysis. Four themes and fifteen related subthemes emerged, including: (1) emotional experience (sub: anxiety/dysphoria, helplessness, worry, ambivalence); (2) physical symptoms (sub: hearing disorder, sleep disturbances, exhaustion, inattention); (3) new challenges (sub: multiple nursing roles, inconsistent practice guidelines, unsatisfactory human-machine interaction, nurse attribute); and (4) coping strategies (sub: positive alarm culture, effective teamwork, development of technology). Healthcare administrators should focus not only on the nurses themselves, but also on objective factors such as organization and technology, which contribute to the empowerment of ICU nurses and can encourage them to participate in clinical alarm management.

Today's healthcare landscape is becoming increasingly data-centric, with artificial intelligence and advanced computer algorithms becoming inextricably embedded in patient care. Although these technologies promise to make care more efficient and effective, they heighten the risk for unintended consequences. Using Walker and Avant's framework for concept analysis, we propose and explicate the emerging concept of iatrogenic data trauma, or ways in which the collection, storage, and use of sensitive and potentially stigmatizing patient data can cause harm. We conducted a careful and exhaustive review of traditional academic publications, as well as nontraditional digital sources to generate a rich and intersectional corpus of information pertaining to data justice, digital rights, and potential risks associated with the "datafication" of individuals. Using evidence synthesis and practical examples, we discuss how flawed data processes in healthcare settings can lead to data trauma among patients and explore how its presence can perpetuate health disparities, marginalization, loss of privacy, and breach of trust in patient-provider relationships. We discuss how this phenomenon arises and manifests across the healthcare continuum and is an important issue for professionals in multiple disciplines. We conclude by suggesting future opportunities for research through a trauma-informed lens.

The flipped classroom method to be used in the nursing informatics course can increase nursing students' engagement and learning outcomes. This study aimed to evaluate the effect of flipped classroom education on nursing students' readiness for the flipped classroom model of education, as well as the usability of the flipped classroom and how this model impacts the level of students' knowledge in a nurse informatics course. The nursing students received 6 weeks of classic education and 6 weeks of flipped classroom education in the nursing informatics course. A personal information form, the System Usability Scale, and the Flipped Learning Readiness Scale were used. The study was conducted with 84 students; the students were at an average age of 21.26 years with an average background of 7 years of using technology. An increase in the students' technology self-efficacy and readiness was observed after the implementation of the flipped classrooms. Students who received flipped classroom education rated system usability and technology self-efficacy more positively. The students' engagement in the course had a positive effect on their readiness scores. It was discovered that the factors influencing student achievement include motivation, engagement in the course, and home Internet connection. Flipped classrooms can be used to increase students' ability to use technology both in courses and in hospital clinics.

This study aims to explore the challenges and strategies in creating online communities for individuals with diabetes, emphasizing their role in fostering connections among individuals facing similar health conditions. Using a single-case approach, we investigated the design process of a diabetes online community using the classic waterfall model. Participants were recruited from a diabetes local association, and usability was assessed using the System Usability Scale and the think-aloud method. Subsequently, semistructured interviews were conducted to evaluate functionality and user experience. Data collection was conducted from August until December 2023. The development of the community unveiled significant usability challenges, highlighting the need for user feedback and improvement. Ethical considerations, including anonymity, usage conditions, privacy terms, and health information sharing, emerged as critical areas requiring meticulous attention. Furthermore, healthcare professional moderation was deemed essential to ensure a secure environment. Users expressed strong interest in enhanced interaction features and personalized notifications. Although online diabetes communities hold potential for peer support, addressing usability challenges, ethical considerations, and moderation issues is essential. This study emphasizes the ongoing necessity for research to enhance the development of patient communities, ensuring accessibility, mitigating ethical risks, and leveraging nurses as moderators.