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由高等专家医学科学安全(HEMSS)管理的全球改革人口健康管理。

Global reform population health management as stewarded by Higher Expert Medical Science Safety (HEMSS).

作者信息

Henry James Andrew

机构信息

Institute of Biomedical Sciences, London, United Kingdom.

出版信息

Front Artif Intell. 2025 Sep 4;8:1496948. doi: 10.3389/frai.2025.1496948. eCollection 2025.

DOI:10.3389/frai.2025.1496948
PMID:40979439
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12445053/
Abstract

As described in a Memorandum of Understanding (MoU) on AI infrastructure, global human phenotype ontology (HPO) is a priority for the US and the UK. The UK NHS Act of 1946 and the Medicare and Medicaid Act of 1965 classify using genomics as primary care, supporting international HPO aims for Population Health Management (PHM). The Higher Expert Medical Science Safety (HEMSS) proposes the NHS England, Genomics, and Biobank agile group developers. The HEMSS strategy executes the PHM of the HPO through digital records, pilot citizen predictor pre-eXams, and precise eXam intercept classifications, continuously improving public safety. PHM reform includes biobank opportunities for Value-Based Care (VBC) stratifying genomic and socio-environmental factors that risk HPO in disease segmentation. The author evaluated a standard approach to PHM for HPO with mature and advanced interoperable standards. A reform toolkit aligns adversarial, neural, and transformer models for Generative AI by utilizing multimodal data nuanced for fairness in Quantum Intelligence. The recommendations include HEMSS steps from well-being evaluations to the PHM strategy for HPO in the UK-US. Concepts involve piloting the scaling up of neighborhood clinics and federal centers through reform classification. Plans for citizen privacy facilitate data use with access to reference biobanks, ensuring DNA democratization and national cybersecurity. The UK NHSE corporate governance and US federal authorities monitor and reform the Integrated Care Board assessments and the Centers for Medicare and Medicaid Services surveys using agile methods. The UK-US MoU for AI safety is an international ideal for PHM, creating a safe space for HPO adherence to predictive and interceptive adoption for health and socioeconomic growth. HEMSS Agile Group Development impacts ethical and societal primary care debates. HEMSS discussions on global public health inclusiveness and national engagement aim to govern the classification phases for adherence. Therefore, debates on UK-US accreditation or regulation on the future of Artificial General Intelligence follow. The author concludes in support of the Population Health Management Expert Medical Science Safety Agile Group Development Program. The UK and US governments would benefit from this proposition, and international goals for well-being and socioeconomic growth would also be supported.

摘要

正如一份关于人工智能基础设施的谅解备忘录(MoU)中所描述的,全球人类表型本体(HPO)是美国和英国的一个优先事项。1946年的英国国民健康服务法案(NHS Act)以及1965年的美国医疗保险和医疗补助法案(Medicare and Medicaid Act)将使用基因组学归类为初级保健,支持国际HPO在人口健康管理(PHM)方面的目标。高等专家医学科学安全(HEMSS)提议成立英国国民健康服务体系(NHS England)、基因组学和生物样本库敏捷小组开发者。HEMSS战略通过数字记录、试点公民预测性预检查以及精确的检查拦截分类来执行HPO的PHM,持续改善公共安全。PHM改革包括生物样本库在基于价值的医疗(VBC)方面的机会,对疾病细分中存在HPO风险的基因组和社会环境因素进行分层。作者评估了一种采用成熟且先进的可互操作标准的HPO的PHM标准方法。一个改革工具包通过利用量子智能中针对公平性进行细微调整的多模态数据,使生成式人工智能的对抗模型、神经模型和变压器模型保持一致。这些建议包括从幸福感评估到英美两国HPO的PHM战略的HEMSS步骤。相关概念涉及通过改革分类来试点扩大社区诊所和联邦中心。公民隐私计划促进在可访问参考生物样本库的情况下的数据使用,确保DNA的普及以及国家网络安全。英国国民健康服务体系(NHSE)的公司治理和美国联邦当局使用敏捷方法监督和改革综合护理委员会评估以及医疗保险和医疗补助服务中心的调查。英美关于人工智能安全的谅解备忘录是PHM的一个国际理想模式,为HPO在健康和社会经济增长方面遵循预测性和拦截性应用创造了一个安全空间。HEMSS敏捷小组开发影响着伦理和社会初级保健方面的辩论。HEMSS关于全球公共卫生包容性和国家参与度的讨论旨在管理遵循的分类阶段。因此,随之而来的是关于英美在通用人工智能未来方面的认证或监管的辩论。作者得出结论,支持人口健康管理专家医学科学安全敏捷小组开发计划。英美两国政府将从这一主张中受益,同时也将支持幸福和社会经济增长的国际目标。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a2ba/12445053/19bae72a9d7c/frai-08-1496948-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a2ba/12445053/12dd64ca6c60/frai-08-1496948-g001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a2ba/12445053/19bae72a9d7c/frai-08-1496948-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a2ba/12445053/12dd64ca6c60/frai-08-1496948-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a2ba/12445053/3b64b9a0ab75/frai-08-1496948-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a2ba/12445053/19bae72a9d7c/frai-08-1496948-g003.jpg

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