不完整的COVID-19数据:非洲病毒爆发数据网络对医疗卫生数据的管理

IF 1.3 3区 计算机科学 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS Data Intelligence Pub Date : 2022-08-18 DOI:10.1162/dint_e_00166
M. van Reisen, Francisca Onaolapo Oladipo, M. Mpezamihigo, Ruduan Plug, Mariam Basajja, Aliya Aktau, Putu Hadi Purnama Jati, Reginald Nalugala, Sakinat Folorunso, S. Amare, Ibrahim Abdulahi, Oluwole Afolabi, Ezra Mwesigwa, Getu Tadele Taye, A. Kawu, M. Ghardallou, Yan Liang, Obinna Osigwe, A. Medhanyie, M. Mawere
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引用次数: 7

摘要

患者健康数据的不完整是对非洲和全球COVID-19管理的威胁。这一点随着最近出现的新的担忧变体而变得尤为明显。病毒爆发数据网络(VODAN)-非洲研究了某些非洲国家病人健康数据的管理情况,发现卫生信息流往往不涉及在护理点使用卫生数据,这使得数据的产生对产生数据的人来说基本上毫无意义。这种做法导致对卫生数据的控制权被剥夺,这些数据被提取出来在其他地方处理。为了应对这一问题,VODAN-Africa研究了一种使数据的本地所有权和重新存放成为数据管理过程中心的设计是否有更大的机会被采用。设计团队的工作基于欧盟通用数据保护条例(GDPR)的法律要求;关于将数据整理为可查找、可访问(在明确定义的条件下)、可互操作和可重用(FAIR)的FAIR指南;以及在数据产生的背景下适用的国家法规。该研究的结论是,访问作为机器可操作的数据,并将其重新放置在数据产生和提供服务的区域,具有访问更广泛数据的巨大潜力。这种创新的一个条件是创新团队是跨学科的,包括来自所有创新设计地的利益相关者和专家,并采用共同创造和能力建设的方法。
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Incomplete COVID-19 Data: The Curation of Medical Health Data by the Virus Outbreak Data Network-Africa
Abstract The incompleteness of patient health data is a threat to the management of COVID-19 in Africa and globally. This has become particularly clear with the recent emergence of new variants of concern. The Virus Outbreak Data Network (VODAN)-Africa has studied the curation of patient health data in selected African countries and identified that health information flows often do not involve the use of health data at the point of care, which renders data production largely meaningless to those producing it. This modus operandi leads to disfranchisement over the control of health data, which is extracted to be processed elsewhere. In response to this problem, VODAN-Africa studied whether or not a design that makes local ownership and repositing of data central to the data curation process, would have a greater chance of being adopted. The design team based their work on the legal requirements of the European Union's General Data Protection Regulation (GDPR); the FAIR Guidelines on curating data as Findable, Accessible (under well-defined conditions), Interoperable and Reusable (FAIR); and national regulations applying in the context where the data is produced. The study concluded that the visiting of data curated as machine actionable and reposited in the locale where the data is produced and renders services has great potential for access to a wider variety of data. A condition of such innovation is that the innovation team is intradisciplinary, involving stakeholders and experts from all of the places where the innovation is designed, and employs a methodology of co-creation and capacity-building.
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来源期刊
Data Intelligence
Data Intelligence COMPUTER SCIENCE, INFORMATION SYSTEMS-
CiteScore
6.50
自引率
15.40%
发文量
40
审稿时长
8 weeks
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