Unlocking ChatGPT's potential and challenges in intensive care nursing education and practice: A systematic review with narrative synthesis

Kucukkaya A., Arıkan E., Goktas P.

Nursing Outlook, cilt.72, sa.6, 2024 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 72 Sayı: 6
  • Basım Tarihi: 2024
  • Doi Numarası: 10.1016/j.outlook.2024.102287
  • Dergi Adı: Nursing Outlook
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Social Sciences Citation Index (SSCI), Scopus, ASSIA, CINAHL
  • Anahtar Kelimeler: Artificial intelligence, ChatGPT, Ethical implications, Intensive Care Units, Large language models, Nursing
  • Akdeniz Üniversitesi Adresli: Evet

Özet

Background: The advancement of artificial intelligence (AI) in healthcare and nursing promises to enhance clinical outcomes and education. This review emphasizes integrating AI chatbots, specifically ChatGPT, into Intensive Care Units (ICU) to transform nursing education and practices, while addressing associated risks and ethical challenges. Purpose: To evaluate ChatGPT's utility in ICU nursing education and practices, assessing its effectiveness and develop strategic recommendations for its future incorporation into critical care. Methods: This review employs systematic literature with narrative synthesis, adhering to PRISMA guidelines. Discussion: Five of 1,091 identified studies were eligible. These studies illustrate AI-driven applications’ potential in clinical decision-making and educational efforts, emphasizing the need for improved AI accuracy, robust guidelines, and measures to address data privacy concerns to ensure reliable integration. Conclusion: ChatGPT presents promising benefits for ICU applications but requires careful management. Ongoing research and adherence to ethical standards are essential to optimize its use in critical care. Tweetable abstract: Explore how #ChatGPT revolutionizes ICU nursing & education, blending AI capabilities with ethical, human-centered care. #ICM #AIinHealthcare