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Oonjee Oh's research highlights the need for discussions around end-of-life care options for seriously ill patients. Her focus on palliative care examines how families make decisions regarding hospice enrollment and the potential of artificial intelligence in these processes. The ethical implications of AI in healthcare are explored through her recent paper published in Nursing Ethics.
Oh's work emphasizes the importance of ethical principles in the application of AI technologies, such as machine learning and natural language processing, in palliative care. Collaborating with faculty across disciplines at the University of Pennsylvania has enriched her research, particularly in understanding how technology can support vulnerable populations. The findings underscore the necessity for nurses to be involved in the design of AI tools to ensure they meet patient needs.
• AI's ethical implications in palliative care are critically examined.
• Nurses must inform AI tool design for effective healthcare applications.
AI technologies are explored for their potential to assist in end-of-life decision-making.
Machine learning algorithms are discussed for predicting patient mortality in palliative care.
Natural language processing models are used to identify psychological distress from clinical notes.
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