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The EPI framework: A data privacy by design framework to support healthcare use cases
Future Generation Computer Systems ( IF 6.2 ) Pub Date : 2024-11-20 , DOI: 10.1016/j.future.2024.107550 Jamila Alsayed Kassem, Tim Müller, Christopher A. Esterhuyse, Milen G. Kebede, Anwar Osseyran, Paola Grosso
Future Generation Computer Systems ( IF 6.2 ) Pub Date : 2024-11-20 , DOI: 10.1016/j.future.2024.107550 Jamila Alsayed Kassem, Tim Müller, Christopher A. Esterhuyse, Milen G. Kebede, Anwar Osseyran, Paola Grosso
Data sharing is key to enabling data analysis and research advancement, and that is especially true in healthcare. Due to the inherited sensitivity of health data, institutions are still wary of sharing their data, especially with the increasing number of breaches in recent years and the strict privacy legislation involved (GDPR, HIPAA, etc.). Privacy and security concerns exist when making data available for use or processing.
中文翻译:
EPI 框架:支持医疗保健用例的数据隐私设计框架
数据共享是实现数据分析和研究进步的关键,在医疗保健领域尤其如此。由于健康数据的遗传敏感性,机构仍然对共享其数据持谨慎态度,尤其是在近年来泄露事件数量不断增加以及涉及严格的隐私立法(GDPR、HIPAA 等)的情况下。在提供数据以供使用或处理时,存在隐私和安全问题。
更新日期:2024-11-20
中文翻译:
EPI 框架:支持医疗保健用例的数据隐私设计框架
数据共享是实现数据分析和研究进步的关键,在医疗保健领域尤其如此。由于健康数据的遗传敏感性,机构仍然对共享其数据持谨慎态度,尤其是在近年来泄露事件数量不断增加以及涉及严格的隐私立法(GDPR、HIPAA 等)的情况下。在提供数据以供使用或处理时,存在隐私和安全问题。