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  1. 6 lut 2024 · Artificial intelligence revolutionizes nursing informatics and healthcare by enhancing patient outcomes and healthcare access while streamlining nursing workflow. These advancements, while promising, have sparked debates on traditional nursing ethics like patient data handling and implicit bias.

  2. To respond to these challenges and prepare for the future, nursing must begin immediate transformation into a digitally enabled profession that can respond to the complex global challenges facing health systems and society.

  3. 17 lis 2023 · This paper conducts a theoretical study on ethical predicaments that arise in nursing informatics from nurses’ perspectives. Why and how these predicaments emerge are elaborated. Also, this paper offers countermeasures in realistic contexts from technique, education, and leadership aspects.

  4. 28 maj 2024 · The significance of data ethics in achieving responsible AI was first highlighted in the broader context of healthcare and subsequently in nursing. This presentation explores the principles of data ethics, drawing on relevant frameworks and strategies identified through a formal literature review.

  5. For each identified gap, we propose strategies and opportunities––with implications for nursing practice, education, research and leadership—that can be pursued to ensure the appropriate and safe use of AI in nursing and enable the nursing profession to use AI tools to optimize health outcomes.

  6. 15 wrz 2021 · Bioethics. Health law. Advances in healthcare artificial intelligence (AI) are occurring rapidly and there is a growing discussion about managing its development. Many AI technologies end up owned and controlled by private entities.

  7. Increased pressure for translating 'evidence-based' research findings into 'ethically-sound', 'value-based' and 'patient-centered' practice requires rethinking the model implicit in conventional knowledge translation and informatics practice in all disciplines, including nursing.

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