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医疗服务领域使用人工智能(AI)的全球监管框架。

Global Regulatory Frameworks for the Use of Artificial Intelligence (AI) in the Healthcare Services Sector.

作者信息

Palaniappan Kavitha, Lin Elaine Yan Ting, Vogel Silke

机构信息

Centre of Regulatory Excellence, Duke-NUS Medical School, Singapore 169857, Singapore.

出版信息

Healthcare (Basel). 2024 Feb 28;12(5):562. doi: 10.3390/healthcare12050562.

Abstract

The healthcare sector is faced with challenges due to a shrinking healthcare workforce and a rise in chronic diseases that are worsening with demographic and epidemiological shifts. Digital health interventions that include artificial intelligence (AI) are being identified as some of the potential solutions to these challenges. The ultimate aim of these AI systems is to improve the patient's health outcomes and satisfaction, the overall population's health, and the well-being of healthcare professionals. The applications of AI in healthcare services are vast and are expected to assist, automate, and augment several healthcare services. Like any other emerging innovation, AI in healthcare also comes with its own risks and requires regulatory controls. A review of the literature was undertaken to study the existing regulatory landscape for AI in the healthcare services sector in developed nations. In the global regulatory landscape, most of the regulations for AI revolve around Software as a Medical Device (SaMD) and are regulated under digital health products. However, it is necessary to note that the current regulations may not suffice as AI-based technologies are capable of working autonomously, adapting their algorithms, and improving their performance over time based on the new real-world data that they have encountered. Hence, a global regulatory convergence for AI in healthcare, similar to the voluntary AI code of conduct that is being developed by the US-EU Trade and Technology Council, would be beneficial to all nations, be it developing or developed.

摘要

由于医疗保健劳动力的减少以及随着人口结构和流行病学转变而日益恶化的慢性病的增加,医疗保健部门面临着挑战。包括人工智能(AI)在内的数字健康干预措施被视为应对这些挑战的一些潜在解决方案。这些人工智能系统的最终目标是改善患者的健康结果和满意度、总体人群的健康状况以及医疗保健专业人员的福祉。人工智能在医疗保健服务中的应用广泛,有望协助、自动化并增强多种医疗保健服务。与任何其他新兴创新一样,医疗保健领域的人工智能也存在自身风险,需要监管控制。开展了一项文献综述,以研究发达国家医疗保健服务部门中人工智能的现有监管格局。在全球监管格局中,大多数人工智能法规围绕医疗软件(SaMD)展开,并作为数字健康产品进行监管。然而,需要注意的是,当前的法规可能并不足够,因为基于人工智能的技术能够自主运行、调整其算法,并根据所遇到的新的实际数据随着时间推移提高其性能。因此,类似于美国 - 欧盟贸易和技术理事会正在制定的自愿性人工智能行为准则,全球医疗保健领域人工智能监管趋同将对所有国家(无论是发展中国家还是发达国家)都有益。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9038/10930608/e57b5eee0b2f/healthcare-12-00562-g001.jpg

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