Tursynbek Alma, Zhaksylykova Dilnaz, Cruz Jonas Preposi, Balay-Odao Ejercito Mangawa
Department of Biomedical Sciences, School of Medicine, Nazarbayev University, Astana, Kazakhstan.
Department of Medicine, School of Medicine, Nazarbayev University, Astana, Kazakhstan.
J Clin Nurs. 2024 Dec 3. doi: 10.1111/jocn.17584.
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.
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.
Descriptive qualitative design.
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.
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.
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.
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.
近年来，人工智能融入医疗保健领域受到了广泛关注，其应用范围涵盖从疾病诊断到手术辅助等各个方面。虽然人工智能改善患者治疗效果和优化患者护理的潜力不可否认，但对隐私、透明度以及医疗差错可能性的担忧依然存在。为了充分利用人工智能的变革能力，了解患者对其融入医学的看法和态度对于伦理考量和健康结果至关重要。
本研究旨在描述患者对医疗人工智能及其融入医疗保健系统的看法，提请关注哈萨克斯坦人工智能应用中一个关键但研究不足的方面。
描述性定性设计。
2024年2月至3月，研究人员对13名患者进行了半结构化访谈。访谈进行了录音、转录、翻译，然后采用主题分析方法进行分析。该研究遵循COREQ指南。
13次访谈中出现了五个主题：人工智能对患者护理的益处、人为因素在患者护理中相对于人工智能的重要性、通过人工智能革新患者护理服务、患者教育与人工智能，以及在人工智能驱动的干预中平衡技术与人际互动。
患者对人工智能融入医疗保健的看法主要是积极的。然而，由于可能出现医疗差错和侵犯患者隐私等风险，患者更倾向于在人类监督下将人工智能作为辅助工具。
患者为本研究提供了数据。研究人员就他们对医疗人工智能及其融入医疗保健系统的看法对他们进行了访谈。患者或公众对研究的其他方面没有贡献。
