Artificial Intelligence In Nursing: Current Uses, Ethical Considerations, And Future Prospects
Adomat, Nicolas (2024)
2024
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-2024120833668
https://urn.fi/URN:NBN:fi:amk-2024120833668
Tiivistelmä
The purpose of this thesis is to describe the current state of AI in nursing and its implications for nursing practice. In this thesis, a comprehensive literature review of the current state of artificial intelligence is conducted, by examining its use and benefits, ethical considerations, and the future implementation of AI in the field of nursing. The aim of the thesis is to provide nurses with an understandable overview of AI and its potential applications in nursing; in other words, to increase knowledge about the use, implications, and ethical problems of AI in nursing.
A thematic analysis and inductive content analysis were employed to analyze the selected articles. Themes and categories were generated to answer the research questions, providing a structured understanding of AI applications, ethical considerations and future prospects in nursing.
The findings reveal a diverse range of AI applications in use within nursing, including AI-powered diagnostics, personalized treatment plans, and robotic assistance in routine tasks. In addition, the study highlights the im-portance of addressing ethical considerations, such as mitigating biases in algorithms, safeguarding patient privacy, and ensuring accountability in AI decision-making processes. The thesis also discusses future trends in AI development, emphasizing the need to integrate AI innovations into a human-centered healthcare framework to promote fairness and compassion.
A thematic analysis and inductive content analysis were employed to analyze the selected articles. Themes and categories were generated to answer the research questions, providing a structured understanding of AI applications, ethical considerations and future prospects in nursing.
The findings reveal a diverse range of AI applications in use within nursing, including AI-powered diagnostics, personalized treatment plans, and robotic assistance in routine tasks. In addition, the study highlights the im-portance of addressing ethical considerations, such as mitigating biases in algorithms, safeguarding patient privacy, and ensuring accountability in AI decision-making processes. The thesis also discusses future trends in AI development, emphasizing the need to integrate AI innovations into a human-centered healthcare framework to promote fairness and compassion.