数字技术和人工智能如何促进实现与卫生相关的可持续发展目标

Philipp Koebe
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引用次数: 0

摘要

加强全球卫生是联合国可持续发展目标中的一项关键目标。随着生活各个领域正在进行的数字化转型,新数字技术的结合和人工智能的利用有可能为实现这些目标做出重大贡献。利用数字商业模式固有的可扩展性,再加上智能手机的广泛采用,促进了数字医疗保健服务的广泛传播,甚至在新兴国家和发展中国家也是如此。本调查采用定量研究方法来检验这一现象的含义。2023年,来自德语国家的103名专家参加了一项在线调查,就数字化对健康相关可持续发展目标的影响提供了他们的见解。调查包括评估数字技术和人工智能对卫生领域13个分目标以及另外6个可持续发展目标的影响。综合评价显示,所有19个子目标都表现出明显的中到高影响。分析强调,教育和预警系统等领域特别适合数字化干预。相反,旨在减少烟草消费或药物滥用的努力可能受益于补充措施。最后,本研究不仅提出了建模的发展前景,还提出了十项可操作的建议,阐明了推进数字技术和人工智能集成以增强健康相关可持续性目标的潜在途径。
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How digital technologies and AI contribute to achieving the health-related SDGs
Enhancing global health stands as a pivotal objective within the United Nations' Sustainable Development Goals (SDGs). In the wake of the ongoing digital transformation across various spheres of life, the incorporation of new digital technologies and the utilization of artificial intelligence hold the potential to contribute significantly to the attainment of these objectives. Leveraging the scalability inherent in digital business models, coupled with the widespread adoption of smartphones, facilitates the broad dissemination of digital healthcare services, even within emerging and developing nations. This inquiry adopts a quantitative research methodology to examine the implications of this phenomenon. In 2023, a cohort of 103 experts within German-speaking countries participated in an online survey, offering their insights into the impact of digitalization on health-related sustainability goals. The survey encompassed an assessment of the influence of digital technologies and AI on 13 sub-goals within the health domain, as well as on six additional SDGs. The comprehensive evaluation revealed that all 19 sub-goals exhibit a discernible medium to high impact. The analysis underscores that domains such as education and early warning systems are particularly amenable to digital interventions. Conversely, endeavors targeting the reduction of tobacco consumption or drug abuse may benefit from complementary measures. Conclusively, this study not only presents a developmental perspective on modeling but also formulates ten actionable recommendations, elucidating potential avenues for advancing the integration of digital technologies and artificial intelligence to enhance health-related sustainability goals.
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