Use of artificial intelligence in nursing
Chhetri, Laxman; Shrestha, Om Krishna (2023)
2023
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-2023120734994
https://urn.fi/URN:NBN:fi:amk-2023120734994
Tiivistelmä
The purpose of the thesis is to explore the concepts of Artificial Intelligence (AI), its application, advantages, challenges, possible measures of integrating AI into nursing practice as well as the ethical considerations. The thesis aims to seek and analyze the probability of nurses being replaced by AI in the future.
The study was conducted as a qualitative integrative literature review, and a thematic inductive content analysis approach has been implemented. The data was collected from electronic databases and scholarly articles relevant to the research questions. The study approach was a qualitative method to gather information from previous studies and to recognize subject that requires further investigation.
The result of the study revealed that AI tools such as PARO, Giraff, TUG, Robear, Zora, care-O-Bot, and others are being used in monitoring, assisting, medication administration, determining patterns, and preventing physical exhaustion. Integration challenges entail a lack of AI curricula in nursing, a lack of trust, and communication between nurses and AI developers. Ethical aspects of human care such as dignity, autonomy, privacy, safety, data protection, transparency, and acting responsibly are emphasized. AI can be integrated into nursing by introducing “Minimum AI in nursing competencies” in the curriculum, elaborating ethical and legal implications, as well as encouraging multidisciplinary collaboration between nurses and AI developers. As a quote stresses “A better bicycle does not replace the cyclist”, which sums up the idea Nurses are irreplaceable by AI but will function as a helping hand.
The study was conducted as a qualitative integrative literature review, and a thematic inductive content analysis approach has been implemented. The data was collected from electronic databases and scholarly articles relevant to the research questions. The study approach was a qualitative method to gather information from previous studies and to recognize subject that requires further investigation.
The result of the study revealed that AI tools such as PARO, Giraff, TUG, Robear, Zora, care-O-Bot, and others are being used in monitoring, assisting, medication administration, determining patterns, and preventing physical exhaustion. Integration challenges entail a lack of AI curricula in nursing, a lack of trust, and communication between nurses and AI developers. Ethical aspects of human care such as dignity, autonomy, privacy, safety, data protection, transparency, and acting responsibly are emphasized. AI can be integrated into nursing by introducing “Minimum AI in nursing competencies” in the curriculum, elaborating ethical and legal implications, as well as encouraging multidisciplinary collaboration between nurses and AI developers. As a quote stresses “A better bicycle does not replace the cyclist”, which sums up the idea Nurses are irreplaceable by AI but will function as a helping hand.