Published in

Annual Review of Biomedical Data Science, 1(3), p. 391-410, 2020

DOI: 10.1146/annurev-biodatasci-012920-013357

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Supercomputing and Secure Cloud Infrastructures in Biology and Medicine

Journal article published in 2020 by Cathrine Jespersgaard, Ali Syed, Piotr Chmura ORCID, Peter Løngreen
This paper was not found in any repository, but could be made available legally by the author.
This paper was not found in any repository, but could be made available legally by the author.

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Abstract

The increasing amounts of healthcare data stored in health registries, in combination with genomic and other types of data, have the potential to enable better decision making and pave the path for personalized medicine. However, reaping the full benefits of big, sensitive data for the benefit of patients requires greater access to data across organizations and institutions in various regions. This overview first introduces cloud computing and takes stock of the challenges to enhancing data availability in the healthcare system. Four models for ensuring higher data accessibility are then discussed. Finally, several cases are discussed that explore how enhanced access to data would benefit the end user.