Department of Biostatistics and Medical Informatics, Faculty of Medicine, Süleyman Demirel University, Isparta, Turkiye.
Department of History of Medicine and Ethics, Faculty of Medicine, Süleyman Demirel University, Isparta, Turkiye.
Work. 2024;79(3):1577-1588. doi: 10.3233/WOR-240187.
Artificial Intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to perform tasks that typically require human intelligence. The integration of AI and telehealth applications in healthcare raises ethical concerns such as bias, transparency, data privacy, and accountability for errors. Several studies have assessed this topic, particularly with regard to musculoskeletal disorders, which will be the focus of this manuscript.
We will examine key ethical concepts including informed consent, data protection, confidentiality, physician malpractice, liability, and telemedicine regulations.
Ethical issues pertaining to the topic were explored through a review paper. The primary objective of this scoping review was to map and synthesize the existing literature concerning ethical considerations in telehealth and AI for work-related musculoskeletal disorders.
Research demonstrates that medication effectiveness, patient and physician satisfaction, and accessibility costs are higher with telemedicine and AI methods compared to in-person approaches, particularly for work-related musculoskeletal disorders. Therefore, addressing ethical issues, including patient data privacy and security, is crucial in this field. By considering these factors, the adoption of emerging AI and telemedicine applications, especially for work-related musculoskeletal disorders, is likely to increase.
AI and telemedicine offer significant advantages, particularly in addressing work-related musculoskeletal disorders. However, ethical and legal issues surrounding their practice require standardized rules to ensure equitable access, quality care, sustainable costs, professional liability, patient privacy, data protection, and confidentiality. Further practical research studies are needed to address these considerations more effectively.
人工智能(AI)是指在机器中模拟人类智能,这些机器被编程为执行通常需要人类智能的任务。人工智能和远程医疗应用在医疗保健中的结合引发了一些伦理问题,例如偏见、透明度、数据隐私以及对错误的问责。已经有几项研究评估了这个主题,特别是在肌肉骨骼疾病方面,这将是本文的重点。
我们将研究包括知情同意、数据保护、保密性、医生过失、责任和远程医疗法规在内的关键伦理概念。
通过一篇综述论文探讨了与该主题相关的伦理问题。这项范围综述的主要目的是绘制和综合现有的关于远程医疗和人工智能在与工作相关的肌肉骨骼疾病方面的伦理考虑的文献。
研究表明,与面对面的方法相比,远程医疗和人工智能方法在药物疗效、患者和医生满意度以及可及性成本方面更高,特别是在与工作相关的肌肉骨骼疾病方面。因此,解决伦理问题,包括患者数据隐私和安全问题,在这一领域至关重要。通过考虑这些因素,新兴的人工智能和远程医疗应用,特别是在与工作相关的肌肉骨骼疾病方面的应用,可能会增加。
人工智能和远程医疗提供了显著的优势,特别是在解决与工作相关的肌肉骨骼疾病方面。然而,围绕其应用的伦理和法律问题需要标准化的规则,以确保公平获得、高质量的护理、可持续的成本、专业责任、患者隐私、数据保护和保密性。需要进一步进行实际研究,以更有效地解决这些问题。