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弥合监管差距:一种利用SRA批准和人工智能评估的双路径框架,以确保发展中国家的药品质量。

Bridging the Regulatory Divide: A Dual-Pathway Framework Using SRA Approvals and AI Evaluation to Ensure Drug Quality in Developing Countries.

作者信息

Niazi Sarfaraz K

机构信息

College of Pharmacy, University of Illinois, Chicago, IL 60612, USA.

出版信息

Pharmaceuticals (Basel). 2025 Jul 10;18(7):1024. doi: 10.3390/ph18071024.

DOI:10.3390/ph18071024
PMID:40732312
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12299679/
Abstract

Developing countries face significant challenges in accessing high-quality pharmaceutical products due to resource constraints, limited regulatory capacity, and market dynamics that often prioritize cost over quality. This review addresses the critical gap in regulatory frameworks that fail to ensure pharmaceutical quality equity between developed and developing nations. This comprehensive review examines a novel dual-pathway regulatory framework that leverages stringent regulatory authority (SRA) approvals, artificial intelligence-based evaluation systems, and harmonized pricing mechanisms to ensure pharmaceutical quality equity across global markets. A comprehensive systematic analysis of current regulatory challenges, proposed solutions, and implementation strategies was conducted through an extensive literature review (202 sources, 2019-2025), expert consultation on regulatory science, AI implementation in healthcare, and pharmaceutical policy development. The methodology included an analysis of regulatory precedents, an economic impact assessment, and a feasibility evaluation based on existing technological implementations. The proposed framework addresses key regulatory capacity gaps through two complementary pathways: Pathway 1 enables same-batch distribution from SRA-approved products with pricing parity mechanisms. At the same time, Pathway 2 provides independent evaluation using AI-enhanced systems for differentiated products. Key components include indigenous AI development, which requires systematic implementation over 4-6 years across three distinct stages, outsourced auditing frameworks that reduce costs by 40-50%, and quality-first principles that categorically reject cost-based quality compromises. Implementation analysis demonstrates a potential for achieving a 90-95% quality standardization, accompanied by a 200-300% increase in regulatory evaluation capability. This framework has the potential to significantly improve pharmaceutical quality and access in developing countries while maintaining rigorous safety and efficacy standards through innovative regulatory approaches. The evidence demonstrates substantial public health benefits with projected improvements in population access (85-95% coverage), treatment success rates (90-95% efficacy), and economic benefits (USD 15-30 billion in system efficiencies), providing a compelling case for implementation that aligns with global scientific consensus and Sustainable Development Goal 3.8.

摘要

由于资源限制、监管能力有限以及市场动态往往优先考虑成本而非质量,发展中国家在获取高质量药品方面面临重大挑战。本综述探讨了监管框架中存在的关键差距,这些差距未能确保发达国家和发展中国家之间的药品质量公平性。本全面综述考察了一种新颖的双途径监管框架,该框架利用严格监管机构(SRA)的批准、基于人工智能的评估系统以及统一的定价机制,以确保全球市场上的药品质量公平性。通过广泛的文献综述(2019 - 2025年的202篇文献来源)、关于监管科学、医疗保健领域人工智能实施以及药品政策制定的专家咨询,对当前的监管挑战、提出的解决方案和实施策略进行了全面系统的分析。该方法包括对监管先例的分析、经济影响评估以及基于现有技术实施情况的可行性评估。所提出的框架通过两条互补途径解决关键的监管能力差距:途径1允许从具有定价平价机制的SRA批准产品进行同批次分发。与此同时,途径2使用人工智能增强系统对差异化产品进行独立评估。关键组成部分包括本土人工智能开发,这需要在4至6年的时间内分三个不同阶段系统实施;外包审计框架,可将成本降低40 - 50%;以及质量优先原则,坚决拒绝基于成本的质量妥协。实施分析表明,有可能实现90 - 95%的质量标准化,同时监管评估能力提高200 - 300%。该框架有可能通过创新的监管方法显著提高发展中国家的药品质量和可及性,同时保持严格的安全和疗效标准。证据表明,预计在人群可及性(覆盖率85 - 95%)、治疗成功率(疗效90 - 95%)和经济效益(系统效率提高150亿至300亿美元)方面会有改善,带来巨大的公共卫生效益,为与全球科学共识和可持续发展目标3.8相一致的实施提供了有力依据。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/977f/12299679/1b857d26888c/pharmaceuticals-18-01024-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/977f/12299679/ec444336e0b4/pharmaceuticals-18-01024-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/977f/12299679/cee39c34c0f7/pharmaceuticals-18-01024-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/977f/12299679/7ff22ef64705/pharmaceuticals-18-01024-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/977f/12299679/1b857d26888c/pharmaceuticals-18-01024-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/977f/12299679/ec444336e0b4/pharmaceuticals-18-01024-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/977f/12299679/cee39c34c0f7/pharmaceuticals-18-01024-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/977f/12299679/7ff22ef64705/pharmaceuticals-18-01024-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/977f/12299679/1b857d26888c/pharmaceuticals-18-01024-g004.jpg

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