Towards a trustworthy, secure and reliable enclave for machine learning in a hospital setting: The Essen Medical Computing Platform (EMCP)

TL;DR

This paper describes the development of the Essen Medical Computing Platform (EMCP), a secure, compliant enclave designed for trustworthy machine learning research in a hospital setting, emphasizing privacy, security, and usability.

Contribution

It presents a comprehensive design and implementation of a secure research enclave tailored for healthcare, addressing specific compliance and usability challenges.

Findings

Successfully implemented a secure enclave for healthcare research

Ensured compliance with data privacy regulations

Provided a practical guide for similar setups

Abstract

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.