Editor-in-Chief: Elizabeth Borycki RN PhD, FIAHIS, FACMI, FCAHS
Elizabeth Borycki RN PhD, FIAHIS, FACMI, FCAHS
JMIR Nursing (JN, Editor-in-Chief: Elizabeth Borycki RN, PhD, FIAHIS, FACMI, FCAHS) is a peer-reviewed journal for nursing in the 21st century. The focus of this journal is original research related to the paradigm change in nursing due to health information technology and the shift toward preventative, predictive, and personalized health and nursing care.
"In the 21st century the whole foundations of health care are being shaken. Technology is taking service to new heights of portability: less invasive, short-term, and with greater impact on both the length and quality of life. Along with portability is the immediately emerging impact of genomics/proteinomics with all that implies for how life processes will be dealt with, when they will be addressed, and the techniques and technologies that will be used to treat persons.
Time-based nursing care with the activities of bathing, treating, changing, feeding, intervening, drugging, and discharging are quickly becoming historic references to an age of practice that no longer exists. Now the challenge for nursing practice skills relates more to taking on the activities of accessing, informing, guiding, teaching, counseling, typing, and linking. "
(Tim Porter-O'Brady, Nurs Outlook 2001;49:182-6)
All papers are rigorously peer-reviewed, copyedited and XML-tagged. Upon acceptance, an article processing fee will apply.
Clinical alarm system safety is a national patient safety goal in the United States. Physiologic monitors are associated with the highest number of device alarms and alarm-related deaths. However, research involving nurses’ use of physiologic monitors is rare. Hence, the identification of critical usability issues for monitors, especially those related to patient safety, is a nursing imperative.
It is predicted that artificial intelligence (AI) will transform nursing across all domains of nursing practice, including administration, clinical care, education, policy, and research. Increasingly, researchers are exploring the potential influences of AI health technologies (AIHTs) on nursing in general and on nursing education more specifically. However, little emphasis has been placed on synthesizing this body of literature.
Artificial intelligence (AI) is set to transform the health system, yet little research to date has explored its influence on nurses—the largest group of health professionals. Furthermore, there has been little discussion on how AI will influence the experience of person-centered compassionate care for patients, families, and caregivers.
Previous studies have proven that web-based learning media that offer interesting features with the learning management system concept could support the learning processes of nursing students. Nonetheless, it is still necessary to conduct further research on its potential as an information media that supports learning using 1 of the mobile learning methods.
Coordinated care and telehealth services have the potential to deliver quality care to chronically ill patients. They can both reduce the economic burden of chronic care and maximize the delivery of clinical services. Such services require new behaviors, routines, and ways of working to improve health outcomes, administrative efficiency, cost-effectiveness, and user (patient and health professional) experience.
Telemonitoring (TM) interventions have been designed to support care delivery and engage patients in their care at home, but little research exists on TM of complex chronic conditions (CCCs). Given the growing prevalence of complex patients, an evaluation of multi-condition TM is needed to expand TM interventions and tailor opportunities to manage complex chronic care needs.
Long-term care (LTC) homes provide 24-hour care for people living with complex care needs. LTC staff assist older adults living with chronic conditions such as Alzheimer disease, related dementias, and stroke, which can cause communication disorders. In addition to the complex cognitive challenges that can impact communication, further difficulties can arise from cultural-language differences between care staff and residents. Breakdowns in caregiver-resident communication can negatively impact the delivery of person-centered care. Recent advances in mobile technology, specifically mobile devices (tablets and smartphones) and their software apps, offer innovative solutions for supporting everyday communication between care staff and residents. To date, little is known about the care staff’s perspectives on the different ways that mobile technology could be used to support communication with residents.
Globally, most countries face a common challenge by moving toward a population-based structure with an increasing number of older people living with chronic conditions such as type 2 diabetes. This creates a considerable burden on health care services. The use of digital tools to tackle health care challenges established views on traditional nursing, based on face-to-face meetings. Self-management is considered a key component of chronic care and can be defined as management of the day-to-day impact of a condition, something that is often a lifelong task. The use of a screening instrument, such as the Self-Management Assessment Scale (SMASc), offers the potential to guide primary health care nurses into person-centered self-management support, which in turn can help people strengthen their empowerment and self-management capabilities. However, research on self-management screening instruments is sparse, and no research on nurses’ experiences using a digitalized scale for measuring patients’ needs for self-management support in primary health care settings has been found.
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