一个创新的技术基础设施,用于管理不同队伍的SARS-CoV-2数据,符合通用数据保护条例
Chiara Dellacasa1, Maurizio Ortali1, Elisa Rossi1
1HPC Department, CINECA Consorzio Interuniversitario, Bologna, Italy.
Digital health
|May 20, 2024
概括
该ORCHESTRA项目开发了一个安全的数据基础设施,用于欧洲各地的COVID-19研究. 该模型确保了数据隐私,并促进了对公共卫生威胁的快速科学进步.
科学领域:
- 公共卫生 公共卫生
- 传染病流行病学 传染病流行病学
- 生物医学信息学 生物医学信息学
背景情况:
- 该ORCHESTRA项目解决了整合异质健康数据用于COVID-19研究的挑战.
- 它旨在提高有关SARS-CoV-2预防,COVID-19管理和长期后果的知识.
- 遵守诸如通用数据保护条例 (GDPR) 等法规是一个关键考虑因素.
研究的目的:
- 建立一个泛欧洲队列用于COVID-19研究.
- 开发一个创新的技术基础设施,以确保安全和合规的数据管理.
- 为了促进对抗SARS-CoV-2的快速知识进步.
主要方法:
- 设计并部署了欧洲超级计算中心的专用数据管理基础设施.
- 实施了数据保护,隐私,完整性和安全性的多层安全措施.
- 利用集中式数据收集平台和分布式联合分析方法进行数据共享.
主要成果:
- 建立了一个安全的技术基础设施,支持人口群体之间的大量数据交换.
- 根据FAIR数据原则创建了一个数据门户,用于访问非敏感数据和结果.
- 与SARS-CoV-2相关的重要科学结果已经发表.
结论:
- 乐团的基础设施和经验可以作为管理未来公共卫生威胁的模型.
- 变量标准化,架构设计和GDPR合规流程对其他项目有利.
- 该项目展示了安全和合规的生物医学数据管理的成功框架.
相关概念视频
Statistical Software for Data Analysis and Clinical Trials
534
Statistical software is pivotal in data analysis and clinical trials by providing tools to analyze data, draw conclusions, and make predictions. These software packages range from simple data management applications to complex analytical platforms, supporting various statistical tests, models, and simulation techniques. Their significance lies in their ability to handle vast amounts of data with precision and efficiency, enabling researchers to validate hypotheses, identify trends, and make...
534
Principles of Disease Surveillance
91
Disease surveillance is the systematic collection, analysis, and interpretation of health data essential to the planning, implementation, and evaluation of public health practice. This process integrates data dissemination to entities responsible for preventing and controlling disease, injury, and disability. Surveillance systems provide crucial information for action, helping public health authorities make informed decisions to manage and prevent outbreaks, ensure public safety, optimize...
91
Statistical Methods for Analyzing Epidemiological Data
361
Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:
361
Health Information Technology and Healthcare Information System
827
Health Information Technology (HIT)
Health Information Technology, commonly called HIT, integrates advanced information systems and technology in healthcare settings. Its primary functions include:
Health Information Technology, commonly called HIT, integrates advanced information systems and technology in healthcare settings. Its primary functions include:
827
Data Reporting and Recording
4.7K
Reporting and recording are crucial in data documentation. The timely, thorough, and accurate documentation of facts is essential when recording patient data. Failure to record findings during an assessment or interpretation of a problem will result in loss of information and make the patient document unreliable. The reader is left with general impressions if the information is not specific. A recording is documenting data of the individual's health information in a traceable, secure, and...
4.7K
Data Collection I
6.2K
Data collection gathers information needed to make accurate judgments about a patient's present condition. During a health history interview, subjective data is collected from the patient, their caregivers, or family members, and objective data is collected through observations and physical assessment. Patients are the primary source of subjective data. Thus information gathered from patients through interviews, observations, and physical examination is primary data. Secondary sources of...
6.2K


