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在护理计划中利用大语言模型:机遇、挑战与伦理考量

Harnessing Large Language Models in Nursing Care Planning: Opportunities, Challenges, and Ethical Considerations.

作者信息

Nashwan Abdulqadir J, Abujaber Ahmad A

机构信息

Nursing Department, Hamad Medical Corporation, Doha, QAT.

出版信息

Cureus. 2023 Jun 16;15(6):e40542. doi: 10.7759/cureus.40542. eCollection 2023 Jun.

Abstract

The rapid progress in artificial intelligence (AI) and the emergence of large language models (LLMs), like GPT-4, create a unique opportunity to transform nursing care planning. In this editorial, we explore the potential applications of AI in the nursing process, with a focus on patient data assessment and interpretation, communication with patients and families, identifying gaps in care plans, and ongoing professional development. We also examine the ethical concerns and challenges associated with AI integration in healthcare, such as data privacy and security, fairness and bias, accountability and responsibility, and the delicate balance between human-AI collaboration. To implement LLMs responsibly and effectively in nursing care planning, we recommend prioritizing robust data security measures, transparent and unbiased algorithms, clear accountability guidelines, and human-AI collaboration. By addressing these issues, we can improve nursing care planning and ensure the best possible care for patients.

摘要

人工智能(AI)的迅速发展以及诸如GPT-4之类的大语言模型(LLMs)的出现,为变革护理计划创造了独特的机遇。在这篇社论中,我们探讨了AI在护理过程中的潜在应用,重点关注患者数据评估与解读、与患者及家属的沟通、识别护理计划中的差距以及持续的专业发展。我们还审视了与医疗保健中AI整合相关的伦理问题和挑战,例如数据隐私与安全、公平性与偏见、问责制与责任,以及人机协作之间的微妙平衡。为了在护理计划中负责任且有效地应用LLMs,我们建议优先采取强有力的数据安全措施、透明且无偏见的算法、明确的问责指南以及人机协作。通过解决这些问题,我们能够改进护理计划并确保为患者提供尽可能最佳的护理。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/398e/10350541/a0c5d87641b6/cureus-0015-00000040542-i01.jpg

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