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  1. Nursing researchers should focus on the use and impact of AI in nursing and the impacts related to workforce, clinical and patient health outcomes as well as making the AI lifecycle explainable, from AI conception to implementation.

  2. 29 lut 2024 · In this study, thematic analysis allowed researchers to uncover and comprehend the complex viewpoints and insights held by nursing professionals concerning the role of AI in future nursing care, facilitating a comprehensive understanding of their perspectives.

  3. 16 cze 2024 · Some of the impacts of AI include expanding access to high-quality medical care and improving care delivery, improving the electronic health record (EHR), and improving collaboration, communication, and coordination between healthcare disciplines (Pailaha, 2023).

  4. 1 sie 2024 · This study aimed to clarify the meaning of deep learning and identify the defining attributes of artificial intelligence within nursing. We conducted a concept analysis of the deep learning of AI in nursing care using Walker and Avant’s 8-step approach.

  5. This study synthesizes literature on application scenarios for AI in nursing care settings as well as highlights adjacent aspects in the ethical, legal, and social discourse surrounding the application of AI in nursing care.

  6. 1 sie 2024 · To harness the benefits of AI in nursing while addressing potential pitfalls, a human-centric approach is paramount. Nurses must be involved in the design, development, and implementation of AI technologies to ensure that these tools align with their clinical expertise and patient-centered values.

  7. 26 lip 2023 · Artificial intelligence-based systems demonstrated increased autonomy of patients and professionals in care processes such as wound management through guided instructions, improved workflows, and efficiency in terms of time, materials, and human resources. Implications for Nursing Management.

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