缩小现实世界的数据差距:连接十个亚洲国家的点。

IF 3.1 3区 医学 Q2 MEDICAL INFORMATICS
Guilherme Silva Julian, Wen-Yi Shau, Hsu-Wen Chou, Sajita Setia
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引用次数: 0

摘要

非结构化:整个亚洲的经济趋势和医疗保健格局正在迅速演变。为监管和临床决策提供有效的真实世界数据(RWD)是与这一演变相关的重要里程碑。这就需要对不同国家的真实世界数据(RWD)生成情况进行严格评估,以便在生成真实世界证据(RWE)时利用各种真实世界数据仓库。在本文中,我们概述了两种截然不同的国家典型的真实世界数据生成趋势,一种是 "独行学者"--拥有相对自给自足的真实世界数据研究系统的国家,另一种是 "全球合作者"--在很大程度上依赖国际基础设施生成真实世界数据的国家。本报告讨论了研究与发展数据生成的主要趋势和模式、对各国用于生成研究与发展数据的主要数据库的国别见解,以及对这些国家研究与发展数据库利用的更广泛情况的见解。最后,数据指出了亚洲 10 个不同国家在生成 RWD 方面的不同做法,并主张从战略上加强数据协调。这些证据突出表明,必须改进数据库整合,建立标准化的协议和基础设施,以便利用电子病历(EMR)简化 RWD 采集工作。香港的临床数据分析和报告系统(CDARS)是一个成功的 EMR 系统的极佳范例,它展示了集成的强大 EMR 平台整合和生成不同 RWE 的能力。这反过来又有可能减少大多数亚洲国家对众多针对特定病症的本地和全球登记册或有限且基本不可用的医疗保险或索赔数据库的依赖。将卫生技术评估(HTA)流程与观察性医疗结果伙伴关系共同数据模型和观察性健康数据科学与信息学等开放数据倡议联系起来,可以充分利用全球数据资源,为地方决策提供信息。推进此类倡议对于在资源有限的环境中加强医疗保健框架、推动制定具有凝聚力的循证医疗保健政策以及改善该地区患者的治疗效果至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Bridging Real-World Data Gaps: Connecting Dots Across 10 Asian Countries.

The economic trend and the health care landscape are rapidly evolving across Asia. Effective real-world data (RWD) for regulatory and clinical decision-making is a crucial milestone associated with this evolution. This necessitates a critical evaluation of RWD generation within distinct nations for the use of various RWD warehouses in the generation of real-world evidence (RWE). In this article, we outline the RWD generation trends for 2 contrasting nation archetypes: "Solo Scholars"-nations with relatively self-sufficient RWD research systems-and "Global Collaborators"-countries largely reliant on international infrastructures for RWD generation. The key trends and patterns in RWD generation, country-specific insights into the predominant databases used in each country to produce RWE, and insights into the broader landscape of RWD database use across these countries are discussed. Conclusively, the data point out the heterogeneous nature of RWD generation practices across 10 different Asian nations and advocate for strategic enhancements in data harmonization. The evidence highlights the imperative for improved database integration and the establishment of standardized protocols and infrastructure for leveraging electronic medical records (EMR) in streamlining RWD acquisition. The clinical data analysis and reporting system of Hong Kong is an excellent example of a successful EMR system that showcases the capacity of integrated robust EMR platforms to consolidate and produce diverse RWE. This, in turn, can potentially reduce the necessity for reliance on numerous condition-specific local and global registries or limited and largely unavailable medical insurance or claims databases in most Asian nations. Linking health technology assessment processes with open data initiatives such as the Observational Medical Outcomes Partnership Common Data Model and the Observational Health Data Sciences and Informatics could enable the leveraging of global data resources to inform local decision-making. Advancing such initiatives is crucial for reinforcing health care frameworks in resource-limited settings and advancing toward cohesive, evidence-driven health care policy and improved patient outcomes in the region.

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来源期刊
JMIR Medical Informatics
JMIR Medical Informatics Medicine-Health Informatics
CiteScore
7.90
自引率
3.10%
发文量
173
审稿时长
12 weeks
期刊介绍: JMIR Medical Informatics (JMI, ISSN 2291-9694) is a top-rated, tier A journal which focuses on clinical informatics, big data in health and health care, decision support for health professionals, electronic health records, ehealth infrastructures and implementation. It has a focus on applied, translational research, with a broad readership including clinicians, CIOs, engineers, industry and health informatics professionals. Published by JMIR Publications, publisher of the Journal of Medical Internet Research (JMIR), the leading eHealth/mHealth journal (Impact Factor 2016: 5.175), JMIR Med Inform has a slightly different scope (emphasizing more on applications for clinicians and health professionals rather than consumers/citizens, which is the focus of JMIR), publishes even faster, and also allows papers which are more technical or more formative than what would be published in the Journal of Medical Internet Research.
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