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利用数字健康技术应对与气候变化相关的健康影响。

Harnessing Digital Health Technologies to Combat Climate Change-Related Health Impacts.

作者信息

Li Yuhang, Wu Ge, Gong Puxi, Liu Chang, Liang Lizhong, Gong Mengchun, Zeng Zhirong

机构信息

College of Foreign languages Huazhong Agricultural University Wuhan China.

School of Biomedical Engineering Guangdong Medical University Zhanjiang China.

出版信息

Health Care Sci. 2025 Aug 17;4(4):235-242. doi: 10.1002/hcs2.70032. eCollection 2025 Aug.

DOI:10.1002/hcs2.70032
PMID:40861518
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12371720/
Abstract

Climate change poses a significant threat to global health. It exacerbates existing health challenges and generates new ones. Therefore, innovative solutions to mitigate and adapt to its adverse effects are urgently required. This article explores the potential of digital health technologies to address the challenge posed by climate change-related health issues. It discusses their dual functionality of diminishing the carbon footprint of healthcare services and increasing understanding and governance of climate-sensitive diseases. Notably, with advanced technologies such as Generative medical AI (GMAI) presenting environmental concerns like substantial energy consumption during data processing and the generation of electronic waste, it is essential to underscore the significance of their responsible development and implementation of these technologies. This will ensure that the benefits of digital health technologies can be maximized while minimizing their ecological drawbacks. This study, therefore propose, a framework for leveraging digital health technologies to support climate change adaptation, including disease surveillance, telemedicine, patient support systems, and public awareness campaigns.

摘要

气候变化对全球健康构成重大威胁。它加剧了现有的健康挑战,并产生了新的挑战。因此,迫切需要创新的解决方案来减轻和适应其不利影响。本文探讨了数字健康技术应对与气候变化相关的健康问题所带来挑战的潜力。它讨论了这些技术在减少医疗服务碳足迹以及增强对气候敏感疾病的理解和治理方面的双重功能。值得注意的是,诸如生成式医学人工智能(GMAI)等先进技术存在数据处理期间大量能源消耗以及产生电子垃圾等环境问题,因此必须强调对这些技术进行负责任的开发和实施的重要性。这将确保数字健康技术的益处能够最大化,同时将其生态弊端最小化。因此,本研究提出了一个利用数字健康技术支持适应气候变化的框架,包括疾病监测、远程医疗、患者支持系统和公众意识宣传活动。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/43d4/12371720/90d2b6a05038/HCS2-4-235-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/43d4/12371720/90d2b6a05038/HCS2-4-235-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/43d4/12371720/90d2b6a05038/HCS2-4-235-g001.jpg

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本文引用的文献

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From GPT to DeepSeek: Significant gaps remain in realizing AI in healthcare.从GPT到DeepSeek:在医疗保健领域实现人工智能仍存在重大差距。
J Biomed Inform. 2025 Mar;163:104791. doi: 10.1016/j.jbi.2025.104791. Epub 2025 Feb 10.
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A Comprehensive Review on Exploring the Impact of Telemedicine on Healthcare Accessibility.关于探索远程医疗对医疗可及性影响的综合综述
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Telemedicine and Pediatric Care in Rural and Remote Areas of Middle-and-Low-Income Countries: Narrative Review.中低收入国家农村和偏远地区的远程医疗与儿科保健:叙事性综述。
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Improving health literacy using the power of digital communications to achieve better health outcomes for patients and practitioners.利用数字通信的力量提高健康素养,为患者和从业者带来更好的健康结果。
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