Artificial Intelligence in Nursing Practices: Addressing Ethical Concern
Keywords:
artificial intelligence, nursing, ethical, bias, privacyAbstract
The use of artificial intelligence (AI) is growing rapidly and being utilized within the healthcare system, including nursing practice, with the purpose of enhancing patient care efficiency, nursing outcomes, and overall public quality of life. The aim of this article is to review the literature on AI in nursing practice as well as the ethical concerns involved. This will be accomplished by scrutinizing pertinent articles and academic papers on the following subjects: the definition of AI, the function of AI in nursing, the ethical issues in nursing practice and discussion and suggestion. AI implies the development of machines that can imitate human intelligence to learn, reason, and make decisions like humans. The roles of AI in nursing consist of (1) overseeing and diagnosing patient symptoms, (2) managing drug dispensation, (3) educating patients, and (4) managing nursing workflow. According to AI in nursing practice, the ethical considerations include (1) bias and discrimination, (2) privacy and confidentiality, (3) accountability, (4) autonomy and patient-centered care, and (5) informed consent. Integrating artificial intelligence (AI) into nursing practice cannot neglect the nursing purpose of patient care, which is to provide humanistic care. Nurses should be concerned about the impact of AI on the nursing process and the outcomes of patient care. Using AI without careful consideration may lead to ethical problems in nursing practice. It is recommended that (1) users and stakeholders should be deliberated, (2) policymakers should address ethical issues, and (3) continuing education for nurse practitioners and integration of AI into nursing education should be provided for practicing nurses.
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