人工智能与健康相关数据:患者最佳利益与数据所有权的两难选择

Arkadiusz Dziedzic, Julien Issa, Akhilanand Chaurasia, Marta Tanasiewicz
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引用次数: 0

摘要

人工智能(AI)在医疗保健领域的快速发展有可能彻底改变全球医疗保健行业和整个医学。然而,将人工智能技术融入医疗保健领域需要获取大量个人健康相关数据(HRD),考虑到数据所有权不受监管且不透明,这引发了人们对机密个人信息的担忧。本评论将患者的福利作为一项不容置疑的原则,探讨了在人工智能应用中使用HRD的各种伦理问题,重点关注知情同意、数据所有权、数据共享、财务考虑、问责制和伦理标准。本文评估了人工智能专业公司与医疗服务提供商之间的三种潜在合作模式:商业模式、公平利润分享模式和公共资助的非营利模式。每种模式都有其优势和挑战,需要在道德考量、财务影响和技术进步之间取得谨慎的平衡。我们敦促政策制定者和医疗监管机构制定透明的法律,以保护患者隐私,确保知情同意,并促进在人工智能应用中负责任地使用人力资源开发。本评论强调了解决伦理问题的重要性,以保护患者的基本权利,促进负责任的合作,并确保在基于人工智能的医疗保健应用中合乎伦理地使用健康相关数据。受监管的人工智能和医疗保健专业人员的共存对于验证人工智能在医疗保健经济学中使用的成本效益是不可避免的,但为了患者的最佳利益,人力资源开发来源的透明度被认为是最重要的。
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Artificial intelligence and health-related data: The patient’s best interest and data ownership dilemma
The rapid advancement of artificial intelligence (AI) in healthcare has the potential to revolutionize the global healthcare sector and medicine in general. However, integrating AI technologies in healthcare requires access to large amounts of personal health-related data (HRD), which raises concerns regarding confidential personal information considering unregulated and not transparent data ownership. Setting up the patient’s welfare as an unquestionable principle, this commentary explores the various ethical aspects of using HRD in AI applications, focusing on informed consent, data ownership, data sharing, financial considerations, accountability, and ethical standards. Three models of potential collaboration between AI-specializing firms and healthcare providers are evaluated: the commercial model, the equitable profit-sharing model, and the public-funded non-profit model. Each model has its advantages and challenges, necessitating a careful balance between ethical considerations, financial implications, and technological advancements. Policymakers and healthcare regulators are urged to establish transparent legislation to safeguard patient privacy, ensure informed consent, and promote the responsible use of HRD in AI applications. This commentary emphasizes the importance of addressing ethical issues to protect basic patient rights, foster responsible collaborations, and ensure the ethical use of health-related data in AI-based healthcare applications. While the coexistence of regulated AI and healthcare professionals is inevitable for validating the cost-effectiveness of AI use in healthcare economics, the transparency of HRD sources is deemed of utmost importance in the best interest of the patient.
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来源期刊
CiteScore
3.60
自引率
5.60%
发文量
122
审稿时长
6 months
期刊介绍: The Journal of Engineering in Medicine is an interdisciplinary journal encompassing all aspects of engineering in medicine. The Journal is a vital tool for maintaining an understanding of the newest techniques and research in medical engineering.
期刊最新文献
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