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Artificial intelligence (AI) and large language models (LLMs) offer potential benefits in healthcare, such as aiding with patient communication and documentation. However, careful evaluation is needed for ethical and effective integration into nursing practice.

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Area of Science:

  • Artificial Intelligence in Healthcare
  • Clinical Informatics
  • Nursing Technology

Background:

  • The rapid advancement of artificial intelligence (AI), including generative content tools like ChatGPT, is influencing healthcare workflows.
  • Electronic health record vendors are integrating large language models (LLMs) to analyze clinical text and reduce clinician burden.
  • While AI offers benefits in patient education, communication, and research, concerns exist regarding its readiness and workforce acceptance in healthcare.

Purpose of the Study:

  • To equip nurses with knowledge of current AI foundation models and tools.
  • To enable nurses to assess the necessity and impact of AI in clinical practice.
  • To guide the ethical and effective integration and evaluation of AI in healthcare systems.

Main Methods:

  • Review of current artificial intelligence and large language model technologies relevant to healthcare.
  • Analysis of potential applications and challenges of AI in clinical settings.
  • Framework for evaluating and implementing AI tools in nursing workflows.

Main Results:

  • AI and LLMs present opportunities for tasks like patient education, email drafting, record summarization, and research facilitation.
  • Key challenges include ensuring AI tool readiness for the healthcare domain and gaining workforce acceptance.
  • Nurses require understanding to effectively assess, implement, and monitor AI tools.

Conclusions:

  • AI and LLMs hold significant promise for enhancing healthcare delivery and alleviating clinician workload.
  • Ethical considerations and rigorous performance monitoring are crucial for successful AI integration.
  • Nurses play a vital role in evaluating and implementing AI to ensure positive patient care outcomes.