Perspectives of Patients Regarding Artificial Intelligence and Its Application in Healthcare: A Qualitative Study

医疗保健 主题分析 转化式学习 定性研究 感知 心理学 人工智能 透明度(行为) 护理部 医学 计算机科学 发展心理学 社会学 经济增长 经济 神经科学 计算机安全 社会科学
作者
Alma Tursynbek,Dilnaz Zhaksylykova,Jonas Preposi Cruz,Ejercito Mangawa Balay‐odao
出处
期刊:Journal of Clinical Nursing [Wiley]
被引量:21
标识
DOI:10.1111/jocn.17584
摘要

BACKGROUND: Artificial intelligence integration into healthcare has gained significant attention in recent years, with its use ranging from disease diagnosis to surgical assistance. While artificial intelligence's potential to improve patient outcomes and optimise patient care is undeniable, concerns regarding privacy, transparency, and the potential for medical errors persist. To take full advantage of artificial intelligence's transformative abilities, understanding patient perceptions and attitudes towards its integration into medicine is crucial for ethical considerations and health outcomes. PURPOSE: This study aimed to describe patients' perceptions of medical artificial intelligence and its integration into the healthcare system, drawing attention to a crucial yet understudied aspect of artificial intelligence adoption in Kazakhstan. DESIGN: Descriptive qualitative design. METHOD: From February to March 2024, the researchers conducted semi-structured interviews amongst 13 patients. The interviews were audio-recorded, transcribed, translated, and then analysed using a thematic analysis approach. The study adhered to the COREQ guidelines. RESULT: Five themes emerged from 13 interviews: the benefits of artificial intelligence on patient care, the importance of human factors on patient care over artificial intelligence, revolutionising patient care delivery through artificial intelligence, patient education and artificial intelligence, and balancing technology and human interaction in artificial intelligence-driven intervention. CONCLUSION: Patient perceptions of artificial intelligence integration into healthcare were primarily positive. Nevertheless, patients prefer artificial intelligence as a supplementary tool under human supervision due to risks such as possible medical errors and violations of patient privacy. PATIENT OR PUBLIC CONTRIBUTION: Patients provided the data for this study. The researchers interviewed them about their perceptions of medical artificial intelligence and its integration into the healthcare system. The patients or the public contributed nothing to the other aspects of the study.
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