Journal of Medicine Surgery and Public Health, Год журнала: 2025, Номер unknown, С. 100193 - 100193
Опубликована: Апрель 1, 2025
Язык: Английский
SAGE Open Nursing, Год журнала: 2024, Номер 10
Опубликована: Янв. 1, 2024
The rapid integration of artificial intelligence (AI) into healthcare has raised concerns among professionals about the potential displacement human medical by AI technologies. However, apprehensions and perspectives workers regarding substitution them with are unknown.
Язык: Английский
Процитировано
15
Heliyon, Год журнала: 2024, Номер 10(17), С. e36702 - e36702
Опубликована: Авг. 23, 2024
With the increasing integration of artificial intelligence (AI) technologies into healthcare systems, there is a growing emphasis on privacy and ethical considerations. Nurses, as frontline professionals, are pivotal in-patient care offer valuable insights implications AI adoption.
Язык: Английский
Процитировано
10
Frontiers in Public Health, Год журнала: 2024, Номер 12
Опубликована: Июль 2, 2024
The application of artificial intelligence (AI) in healthcare is an important public health issue. However, few studies have investigated the perceptions and attitudes professionals toward its applications nursing. This study aimed to explore knowledge, attitudes, concerns professionals, AI-related others China AI
Язык: Английский
Процитировано
8
Journal of Medicine Surgery and Public Health, Год журнала: 2024, Номер 3, С. 100135 - 100135
Опубликована: Авг. 1, 2024
Язык: Английский
Процитировано
8
Frontiers in Medicine, Год журнала: 2025, Номер 12
Опубликована: Фев. 11, 2025
Artificial intelligence is increasingly influencing healthcare, providing transformative opportunities and challenges for nursing practice. This review critically evaluates the integration of AI in nursing, focusing on its current applications, limitations, areas that require further investigation. A comprehensive analysis recent studies highlights use clinical decision support systems, patient monitoring, education. However, several barriers to successful implementation are identified, including technical constraints, ethical dilemmas, need workforce adaptation. Significant gaps literature also evident, such as limited development nursing-specific tools, insufficient long-term impact assessments, absence frameworks tailored contexts. The potential reshape personalized care, advance robotics address global health explored depth. integrates existing knowledge identifies critical future research, emphasizing necessity aligning advancements with specific needs nursing. Addressing these essential fully harness AI's while reducing associated risks, ultimately enhancing practice improving outcomes.
Язык: Английский
Процитировано
1
Frontiers in Digital Health, Год журнала: 2025, Номер 7
Опубликована: Март 7, 2025
Background Advances in digital technologies and artificial intelligence (AI) are reshaping healthcare delivery, with AI increasingly integrated into nursing practice. These innovations promise enhanced diagnostic precision, improved operational workflows, more personalized patient care. However, the direct impact of on clinical outcomes, workflow efficiency, staff well-being requires further elucidation. Methods This integrative review synthesized findings from 18 studies published through November 2024 across diverse settings. Using PRISMA 2020 SPIDER frameworks alongside rigorous quality appraisal tools (MMAT ROBINS-I), examined multifaceted effects integration nursing. Our analysis focused three principal domains: advancements monitoring, efficiency workload management, ethical implications. Results The demonstrates that has yielded substantial benefits. AI-powered monitoring systems, including wearable sensors real-time alert platforms, have enabled nurses to detect subtle physiological changes—such as early fever onset or pain indicators—well before traditional methods, resulting timely interventions reduce complications, shorten hospital stays, lower readmission rates. For example, several reported early-warning algorithms facilitated faster responses, thereby improving safety outcomes. Operationally, AI-based automation routine tasks (e.g., scheduling, administrative documentation, predictive classification) streamlined resource allocation. efficiencies led a measurable reduction nurse burnout job satisfaction, can devote time despite these benefits, challenges remain prominent. Key concerns include data privacy risks, algorithmic bias, potential erosion judgment due overreliance technology. issues underscore need for robust targeted literacy training within curricula. Conclusion holds transformative practice by enhancing both outcomes efficiency. realize benefits fully, it is imperative develop frameworks, incorporate comprehensive education, foster interdisciplinary collaboration. Future longitudinal varied contexts essential validate support sustainable, equitable implementation Policymakers leaders must prioritize investments solutions complement expertise professionals while addressing risks.
Язык: Английский
Процитировано
1
Journal of Medicine Surgery and Public Health, Год журнала: 2024, Номер 3, С. 100113 - 100113
Опубликована: Май 13, 2024
The primary objective of this commentary was to identify the strengths and weaknesses AI technologies, uncover opportunities for improvement, recognize potential threats that could impede their successful implementation in nursing care. This involved constructing a SWOT matrix analyze adoption, identifying internal weaknesses, external threats. analysis revealed several adoption care, including enhanced data capabilities, improved patient monitoring, increased efficiency routine tasks. However, such as high initial costs concerns about security were identified. Opportunities included reduce healthcare improve outcomes. Nonetheless, resistance technological change ethical dilemmas related decision-making processes recognized barriers adoption. article sheds light on intricate landscape While brings forth substantial strengths, it simultaneously poses challenges systems should confront. To fully harness AI's potential, organizations thoughtfully deliberate identified threats, actively seeking avenues seamless integration. In concerted effort, industry is poised unlock transformative capabilities AI, elevating care standards, ultimately, advancing
Язык: Английский
Процитировано
6
Nursing Reports, Год журнала: 2024, Номер 14(4), С. 2733 - 2745
Опубликована: Окт. 2, 2024
The integration of artificial intelligence (AI) in the organization nursing care has continually evolved, driven by need for innovative solutions to ensure quality care. aim is synthesize evidence on use
Язык: Английский
Процитировано
6
Health Science Reports, Год журнала: 2024, Номер 7(8)
Опубликована: Авг. 1, 2024
With the ever-increasing integration of artificial intelligence (AI) into health care, it becomes imperative to gain an in-depth understanding how care professionals, specifically nurse practitioners, perceive and approach this transformative technology.
Язык: Английский
Процитировано
5
European Journal of Education, Год журнала: 2025, Номер 60(1)
Опубликована: Янв. 31, 2025
ABSTRACT To explore the opportunities and challenges of artificial intelligence (AI) in nursing its impact. Bibliographic review using Arksey O'Malley's framework, enhanced by Levac, Colquhoun O'Brien following PRISMA guidelines, including qualitative mixed studies. MeSH terms keywords such as education ethical considerations were used databases PubMed, Scopus, Web Science, CINAHL, IEEE Xplore Google Scholar. Of all, 53 studies included, highlighting various AI integration for personalised learning, training improvement evaluation. Highlighting related to academic integrity, accuracy, data privacy security, development critical thinking skills. The offers significant advantages improving quality effectiveness education, equitable access, this reason, faculty should be geared toward education.
Язык: Английский
Процитировано
0