Transforming nursing with large language models: from concept to practice.
Eur J Cardiovasc Nurs
; 23(5): 549-552, 2024 Jul 19.
Article
em En
| MEDLINE
| ID: mdl-38178303
ABSTRACT
Large language models (LLMs) such as ChatGPT have emerged as potential game-changers in nursing, aiding in patient education, diagnostic assistance, treatment recommendations, and administrative task efficiency. While these advancements signal promising strides in healthcare, integrated LLMs are not without challenges, particularly artificial intelligence hallucination and data privacy concerns. Methodologies such as prompt engineering, temperature adjustments, model fine-tuning, and local deployment are proposed to refine the accuracy of LLMs and ensure data security. While LLMs offer transformative potential, it is imperative to acknowledge that they cannot substitute the intricate expertise of human professionals in the clinical field, advocating for a synergistic approach in patient care.
Palavras-chave
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Inteligência Artificial
Tipo de estudo:
Guideline
Limite:
Humans
Idioma:
En
Revista:
Eur J Cardiovasc Nurs
Assunto da revista:
ANGIOLOGIA
/
CARDIOLOGIA
/
ENFERMAGEM
Ano de publicação:
2024
Tipo de documento:
Article
País de afiliação:
Singapura