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P.005 What is the future role of artificial intelligence in transplant nursing?

Eda Ayten Kankaya, Turkey

Assist. Prof. Dr.
Nursing Faculty
Dokuz Eylul University

Abstract

What is the future role of artificial intelligence in transplant nursing?

Nazife Gamze Özer Özlü 1, Eda Ayten Kankaya1.

1Dokuz Eylul University, Nursing Faculty , Izmir, Turkey

Introduction: Artificial intelligence (AI) is predicted to transform transplant nursing by offering advanced algorithms and machine learning capabilities to improve patient care, organize administrative tasks, and enhance outcomes. Despite its potential, preserving the integral human touch of nursing while ethically and effectively integrating AI is crucial. This study aims to examine the responses regarding the future role of artificial intelligence in organ transplant nursing.
Method: Hix.Ai was queried about the best artificial intelligence sites in 2024. Thirty sites were examined where academic research questions were answered and freely accessible. The question "What is the future role of artificial intelligence in transplant nursing?" was posed to six sites providing explanations to this question: HIX.AI, ChatGPT, Bing AI-copilot, Google Bard-gemini, Writesonic, and Elicit. The responses from the sites were categorized and summarized.
Results: The responses from artificial intelligence sites were divided into seven categories. Various responses of AI in transplant nursing were available. These response categories were as follows:

  • Predictive Analytics: Predicting transplant success rates and complications by analyzing patient data.
  • Organ Allocation Optimization: Ensuring better matching of organs with recipients.
  • Personalized Patient Care: Customizing treatment plans and monitoring based on individual data.
  • Enhanced Diagnosis and Monitoring: Early detection of complications using AI-supported tools.
  • Patient Education and Support: Providing assistance throughout the day via AI-powered chatbots.
  • Streamlining Administrative Tasks: Focusing more on patient care by automating administrative duties.
  • Research and Innovation: Facilitating data-driven research to improve transplant outcomes.

Conclusion: The integration of AI in transplant nursing promises to improve patient care, streamline processes, and advance research. Collaboration among healthcare professionals, researchers, and policymakers is essential to effectively leverage AI's potential. However, addressing ethical issues and ensuring transparent and ethical implementation of AI are critical for its meaningful use in improving transplant outcomes.

References:

[1] artificial intelligence
[2] transplantation nursing

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