论文标题
在医院环境中进行机器学习的信任，安全和可靠的飞地：Essen医疗计算平台（EMCP）
Towards a trustworthy, secure and reliable enclave for machine learning in a hospital setting: The Essen Medical Computing Platform (EMCP)
论文作者
论文摘要
大规模的AI/计算是一个困难的问题，尤其是在医疗保健环境中。我们概述了与一家德国一家大型医院相关的埃森医学计算平台（EMCP）的实施，概述了导致我们安全研究计算飞地（ESSEN医学计算平台（EMCP））实施的要求，计划和实施选择以及指导原则。合规性，数据隐私和可用性是系统的不变要求。我们将讨论计算飞地的功能，并为希望采用类似设置的小组提供食谱。
AI/Computing at scale is a difficult problem, especially in a health care setting. We outline the requirements, planning and implementation choices as well as the guiding principles that led to the implementation of our secure research computing enclave, the Essen Medical Computing Platform (EMCP), affiliated with a major German hospital. Compliance, data privacy and usability were the immutable requirements of the system. We will discuss the features of our computing enclave and we will provide our recipe for groups wishing to adopt a similar setup.
