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.
@article{arxiv.2201.04816,
title = {Towards a trustworthy, secure and reliable enclave for machine learning in a hospital setting: The Essen Medical Computing Platform (EMCP)},
author = {Hendrik F. R. Schmidt and Jörg Schlötterer and Marcel Bargull and Enrico Nasca and Ryan Aydelott and Christin Seifert and Folker Meyer},
journal= {arXiv preprint arXiv:2201.04816},
year = {2022}
}
Comments
9 pages, 5 figures, to be published in the proceedings of the 2021 IEEE CogMI conference. Christin Seifert and Folker Meyer are co-senior authors