人工智能和与健康相关的数据:患者的最佳利益和数据所有权困境
Arkadiusz Dziedzic1, Julien Issa2,3, Akhilanand Chaurasia4
1Department of Conservative Dentistry with Endodontics, Medical University of Silesia, Katowice, Slaskie, Poland.
概括
医疗保健中的人工智能 (AI) 需要患者健康数据 (HRD),这引发了伦理方面的担忧. 确保患者福利需要透明的数据所有权,知情同意和对负责任的AI集成的明确问责制.
科学领域:
- 医疗保健道德 医疗保健道德
- 人工智能在医学中的应用
- 健康数据治理 治理健康数据
背景情况:
- 人工智能 (AI) 的快速发展为医疗保健部门提供了变革性的潜力.
- 人工智能在医疗保健中的整合需要获得大量的个人健康相关数据 (HRD).
- 有关数据隐私,所有权和在人工智能应用中使用人力资源开发的透明度存在担忧.
研究的目的:
- 探索在医疗保健中的AI应用中利用与健康相关的数据 (HRD) 的伦理维度.
- 评估人工智能公司与医疗保健提供者之间的不同合作模式.
- 强调需要在医疗保健中对人工智能的透明立法和伦理标准.
主要方法:
- 对人工智能中HRD使用的伦理分析.
- 评估了三个合作模式:商业,公平的利分享和公共资助的非营利组织.
- 对道德考虑的审查,包括知情同意,数据所有权和问责制.
主要成果:
- 不同的协作模式具有独特的优势和挑战.
- 需要在道德考虑,财务影响和技术进步之间保持平衡.
- 人力资源发展资源的透明度对于患者的福祉至关重要.
结论:
- 制定透明的立法对于保护患者隐私和确保知情同意至关重要.
- 解决伦理问题对于维护患者权利和促进医疗保健中负责任的人工智能采用至关重要.
- 在人工智能应用中负责任地使用与健康相关的数据需要明确的伦理准则和监管监督.
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