[An integrated system of neurovascular and mental disease registries].

IF 0.9 4区 医学 Q3 MEDICINE, GENERAL & INTERNAL Orvosi hetilap Pub Date : 2024-06-16 DOI:10.1556/650.2024.33076
Lajos Horváth, Gábor Zsemla
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Abstract

As a result of the legal regulations in 2018 that took into account the development of international registry building practice and organized the operation of 18 priority domestic registries, the management of personal health data became more widely organized, the operating environment could be put on a modern basis and the data processing and analysis process could be renewed. Based on the authorization for handling personal data, it became technically possible to connect data from different data sources, which was exploited to create a complex register system in the case of the National Stroke Registry and the National Affective Diseases Registry. The register system can receive data from the sector’s central data systems, the hospital’s information technology system, and directly from patient providers via web forms. The data is managed by a multi-level database system supported by automated processing processes, the operation of which is supported by dashboards and reporting functions. In the higher layers of the processing flow, the elementary data form an OMOP-based data model, and the events are assembled into chains, enabling the analysis of complex patient journeys. The system currently manages more than 50 million health care events, nearly 100 million medical documents and more than 200 million recipes, which is an outstanding data asset at the international level. Data security is served by complex protection operations, including pseudonymization of data and separation of research data markets. Thanks to their complexity, data depth and security, these registries can provide valuable data sources for countless researches. Orv Hetil. 2024; 165(24–25): 955–964.

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[神经血管和精神疾病登记综合系统]。
由于2018年的法律法规考虑到国际注册机构建设实践的发展,并组织了18个优先国内注册机构的运营,个人健康数据的管理得到了更广泛的组织,运营环境可以建立在现代化的基础上,数据处理和分析过程可以更新。根据处理个人数据的授权,从技术上可以连接来自不同数据源的数据,并利用这些数据创建了一个复杂的登记系统,例如国家中风登记和国家情感性疾病登记。登记系统可以接收来自部门中央数据系统、医院信息技术系统的数据,也可以通过网络表单直接接收来自患者提供者的数据。数据由自动化处理流程支持的多级数据库系统管理,该系统的操作由仪表板和报告功能支持。在处理流的较高层中,基本数据形成基于omop的数据模型,事件被组装成链,从而能够分析复杂的患者旅程。该系统目前管理着5000多万次医疗事件、近1亿份医疗文件和2亿多份食谱,是国际上杰出的数据资产。数据安全是由复杂的保护操作提供的,包括数据的假名化和研究数据市场的分离。由于它们的复杂性、数据深度和安全性,这些注册表可以为无数的研究提供有价值的数据源。奥夫·海泰尔。2024;165(24 - 25日):955 - 964。
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来源期刊
Orvosi hetilap
Orvosi hetilap MEDICINE, GENERAL & INTERNAL-
CiteScore
1.20
自引率
50.00%
发文量
274
期刊介绍: The journal publishes original and review papers in the fields of experimental and clinical medicine. It covers epidemiology, diagnostics, therapy and the prevention of human diseases as well as papers of medical history. Orvosi Hetilap is the oldest, still in-print, Hungarian publication and also the one-and-only weekly published scientific journal in Hungary. The strategy of the journal is based on the Curatorium of the Lajos Markusovszky Foundation and on the National and International Editorial Board. The 150 year-old journal is part of the Hungarian Cultural Heritage.
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