新视野下的糖尿病管理医学教育:来自代谢管理中心的见解。

IF 3 2区 医学 Q2 ENDOCRINOLOGY & METABOLISM
Guang Ning
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Empowered by a proprietary health information platform supporting dynamic big data analysis and AI technology-based medical tools, the MMC network would continue to grow. Preliminary data show that under MMC management, the proportion of achieving glycated hemoglobin (HbA1c) &lt; 7.0% in patients with diabetes surged from 22.7% to 53.2%. The rates of patients who met all three treatment targets (HbA1c &lt; 7%, blood pressure &lt; 140/90 mmHg, and low density lipoprotein-cholesterol &lt; 2.6 mmol/L) nearly tripled from 7.3% to 19.8%. MMC's decade-long evolution demonstrates that standardization, digitalization, and medical education can dismantle barriers to equitable diabetes care.</p><p>By enabling global data sharing and fostering international collaboration, the MMC platform accelerates large-scale, real-world evidence generation while establishing a globally referential model for medical education. 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引用次数: 0

摘要

全球糖尿病流行给医疗保健系统带来了巨大挑战,2021年记录在案的糖尿病病例为5.29亿例,预计到2050年将增加到13.1亿例以上。低收入和中等收入国家承担了不成比例的负担,占全球糖尿病病例的80%。值得注意的是,中国是世界上糖尿病患者最多的国家,有超过1.18亿人患有糖尿病,但其知知率、治疗率和控制率却低得惊人[3,4]。在快速城市化、人口老龄化、显著的环境和生活方式转变以及区域和社会经济差异的推动下,中国面临着有效应对这些挑战的迫切需要。2016年成立的国家代谢管理中心(MMC)就是为了应对这些挑战。在“一个中心、一站式、一个标准”的原则指导下,MMC整合了尖端医疗设备、循证方案和多学科合作,重新定义了糖尿病管理[5]。MMC在中国的医院和初级卫生保健机构建立了一个全国性的代谢中心网络,以加强基于指南的糖尿病管理。这篇社论描述了MMC的发展历程,强调了其在患者护理、医学教育、人工智能(AI)驱动的精准医疗方面的创新,以及在全球代谢健康治理方面的贡献。MMC的运营模式通过将服务整合到一个统一的中心,彻底改变了传统的分散护理。在MMC专家委员会的指导下,制定了一系列标准操作程序(sop)和MMC专用指南,以规范疾病管理。在每个MMC,患者都可以获得一站式护理,包括从初始注册、诊断测试、临床评估、治疗处方到制定个性化随访策略的全套医疗服务[6-8]。为确保这一模式在全国范围内实施,市卫生厅建立了由市卫生厅领导中心、区域中心、县中心和社区中心组成的四级防治网络。复杂病例的远程咨询和转诊系统已整合到该网络中,实现了不同级别mmc之间的无缝沟通和患者转移。此外,MMC利用基于物联网(IoT)和先进技术的健康信息平台,支持持续和个性化的护理服务,有效弥合了基于医院和基于社区的管理之间的差距。MMC平台的核心是两个相互连接的系统:MMC数字病历系统和在线教育系统。数字病历系统集成了全面的临床表型、详细的生化分析和糖尿病相关并发症指标,创建了一个实时的、多维的数据融合框架。它利用先进的人工智能技术,将实验室检测报告图像转换为可编辑的文本,自动提取关键数据,涵盖1000多个代谢参数,通过支持物联网的接口,包括专有的移动应用程序、基于微信的平台和远程医疗系统,确保医院内外环境的无缝数据互操作性。除此之外,MMC还开发了一个全面的在线教育系统,其中包括患者教育模块和医疗保健提供者的临床培训项目。这些举措共同解决了中国代谢性疾病管理方面的系统性挑战,通过标准化协议消除了护理碎片化,通过远程医疗和分层网络改善了与专家的接触,通过持续医学教育确保了对临床指南的遵守,并通过在线培训项目扩大了糖尿病教育的能力。为确保对MMC工作流程和管理标准进行实时监督和质量认证,MMC专家委员会建立了标准化的监测流程和资格体系。MMC倡议率先通过三种变革性应用将人工智能技术整合到糖尿病管理中。MMC网络已显著扩展,涵盖了中国32个省、自治区和直辖市的2000多个代谢中心,并为全国300万糖尿病患者提供了护理。在支持动态大数据分析和基于人工智能技术的医疗工具的专有健康信息平台的支持下,MMC网络将继续发展。初步数据显示,在MMC管理下,糖尿病患者糖化血红蛋白(HbA1c)达到7.0%的比例从22.7%飙升至53.2%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Medical Education in Diabetes Management on the New Horizon: Insights From Metabolic Management Center

The global diabetes epidemic presents a formidable challenge to healthcare systems, with 529 million cases documented in 2021 and projections estimating a rise to more than 1.31 billion by 2050 [1]. Low- and middle-income countries bear a disproportionate burden, representing 80% of global diabetes cases [2]. Notably, China has the largest population living with diabetes worldwide, with over 118 million individuals affected [1], accompanied by alarmingly low rates of awareness, treatment, and control [3, 4]. Driven by rapid urbanization, an aging population, significant environmental and lifestyle shifts, and regional and socioeconomic disparities, China faces an urgent imperative to effectively address these challenges.

The National Metabolic Management Center (MMC), launched in 2016, emerged as a response to these challenges. Guided by the principle of “One Center, One Stop, One Standard,” MMC integrates cutting-edge medical equipment, evidence-based protocols and multidisciplinary collaboration to redefine diabetes management [5]. The MMC establishes a nationwide network of metabolic centers across hospitals and primary healthcare facilities in China to enhance guideline-based diabetes management. This editorial delineates MMC's development journey, emphasizing its innovations in patient care, medical education, artificial intelligence (AI)-driven precision medicine, and global contributions to metabolic health governance.

MMC's operational model revolutionizes traditional fragmented care by consolidating services into a unified center. Guided by the MMC Experts Committee, a series of standard operating procedures (SOPs) and MMC-specific guidelines have been developed to standardize the disease management. At every MMC, patients can receive one-stop care encompassing the complete spectrum of healthcare services from initial registration, diagnostic testing, clinical assessment, therapeutic prescription, to formulation of personalized follow-up strategies [6-8]. To ensure the nationwide implementation of this model, the MMC has established a four-tiered prevention and control network, comprising the MMC leading center, regional centers, county centers, and community centers. A teleconsultation and referral system for complex cases has been integrated into this network, enabling seamless communication and patient transfers across different levels of MMCs. Furthermore, the MMC leverages a health information platform based on Internet of Things (IoT) and advanced technologies to support continuous and personalized care delivery, effectively bridging the gap between hospital-based and community-based management. Central to the MMC platform are two interconnected systems: the MMC digital medical record system and the online education system.

The digital medical record system integrates comprehensive clinical phenotyping, detailed biochemical profiling, and diabetes-related complication indicators to create a real-time, multidimensional data fusion framework. Leveraging advanced AI technologies, it converts laboratory test report images into editable text, automatically extracts key data, and covers over 1000 metabolic parameters, ensuring seamless data interoperability across in- and out-of-hospital settings through IoT-enabled interfaces, including proprietary mobile applications, WeChat-based platforms, and telemedicine systems. Complementing this, MMC has developed a comprehensive online education system featuring patient education modules and clinical training programs for healthcare providers. Together, these initiatives tackle systemic challenges in China's metabolic disease management by eliminating care fragmentation through standardized protocols, improving access to specialists via telemedicine and tiered networks, ensuring adherence to clinical guidelines through continuous medical education, and expanding the capacity for diabetes education through online training programs.

To ensure real-time supervision and quality certification of MMC workflows and management standards, the MMC Experts Committee has established standardized monitoring processes and qualification systems.

The MMC initiative has pioneered the integration of AI technologies into diabetes management through three transformative applications.

The MMC network has expanded significantly, encompassing more than 2000 metabolic centers across 32 provinces, autonomous regions, and municipalities in China, and has provided care to 3 million patients with diabetes nationwide. Empowered by a proprietary health information platform supporting dynamic big data analysis and AI technology-based medical tools, the MMC network would continue to grow. Preliminary data show that under MMC management, the proportion of achieving glycated hemoglobin (HbA1c) < 7.0% in patients with diabetes surged from 22.7% to 53.2%. The rates of patients who met all three treatment targets (HbA1c < 7%, blood pressure < 140/90 mmHg, and low density lipoprotein-cholesterol < 2.6 mmol/L) nearly tripled from 7.3% to 19.8%. MMC's decade-long evolution demonstrates that standardization, digitalization, and medical education can dismantle barriers to equitable diabetes care.

By enabling global data sharing and fostering international collaboration, the MMC platform accelerates large-scale, real-world evidence generation while establishing a globally referential model for medical education. This integrated approach yields critical insights that advance our understanding of diabetes pathophysiology and treatment optimization, while simultaneously revolutionizing diabetes care training through standardized, data-driven educational frameworks that are being adopted worldwide.

The author declares no conflicts of interest.

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来源期刊
Journal of Diabetes
Journal of Diabetes ENDOCRINOLOGY & METABOLISM-
CiteScore
6.50
自引率
2.20%
发文量
94
审稿时长
>12 weeks
期刊介绍: Journal of Diabetes (JDB) devotes itself to diabetes research, therapeutics, and education. It aims to involve researchers and practitioners in a dialogue between East and West via all aspects of epidemiology, etiology, pathogenesis, management, complications and prevention of diabetes, including the molecular, biochemical, and physiological aspects of diabetes. The Editorial team is international with a unique mix of Asian and Western participation. The Editors welcome submissions in form of original research articles, images, novel case reports and correspondence, and will solicit reviews, point-counterpoint, commentaries, editorials, news highlights, and educational content.
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