Supercomputing and Secure Cloud Infrastructures in Biology and Medicine

Research output: Contribution to journal › Review › Research › peer-review

Standard

Supercomputing and Secure Cloud Infrastructures in Biology and Medicine. / Jespersgaard, Cathrine; Syed, Ali; Chmura, Piotr; Longreen, Peter.

In: Annual Review of Biomedical Data Science, Vol. 3, 2020, p. 391-410.

Research output: Contribution to journal › Review › Research › peer-review

Harvard

Jespersgaard, C, Syed, A, Chmura, P & Longreen, P 2020, 'Supercomputing and Secure Cloud Infrastructures in Biology and Medicine', Annual Review of Biomedical Data Science, vol. 3, pp. 391-410. https://doi.org/10.1146/annurev-biodatasci-012920-013357

APA

Jespersgaard, C., Syed, A., Chmura, P., & Longreen, P. (2020). Supercomputing and Secure Cloud Infrastructures in Biology and Medicine. Annual Review of Biomedical Data Science, 3, 391-410. https://doi.org/10.1146/annurev-biodatasci-012920-013357

Vancouver

Jespersgaard C, Syed A, Chmura P, Longreen P. Supercomputing and Secure Cloud Infrastructures in Biology and Medicine. Annual Review of Biomedical Data Science. 2020;3:391-410. https://doi.org/10.1146/annurev-biodatasci-012920-013357

Author

Jespersgaard, Cathrine ; Syed, Ali ; Chmura, Piotr ; Longreen, Peter. / Supercomputing and Secure Cloud Infrastructures in Biology and Medicine. In: Annual Review of Biomedical Data Science. 2020 ; Vol. 3. pp. 391-410.

Bibtex

@article{d9aa53cf4e41425a92130a4d5b155e3c,
title = "Supercomputing and Secure Cloud Infrastructures in Biology and Medicine",
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.",
keywords = "cloud infrastructures, clinical IT infrastructure, personalized medicine, cloud bursting, orchestration, NATIONAL PATIENT REGISTRY, MATCHMAKING, CHALLENGES, GENOMICS, DISEASE",
author = "Cathrine Jespersgaard and Ali Syed and Piotr Chmura and Peter Longreen",
year = "2020",
doi = "10.1146/annurev-biodatasci-012920-013357",
language = "English",
volume = "3",
pages = "391--410",
journal = "Annual Review of Biomedical Data Science",
issn = "2574-3414",
publisher = "NLM (Medline)",

}

RIS

TY - JOUR

T1 - Supercomputing and Secure Cloud Infrastructures in Biology and Medicine

AU - Jespersgaard, Cathrine

AU - Syed, Ali

AU - Chmura, Piotr

AU - Longreen, Peter

PY - 2020

Y1 - 2020

N2 - 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.

AB - 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.

KW - cloud infrastructures

KW - clinical IT infrastructure

KW - personalized medicine

KW - cloud bursting

KW - orchestration

KW - NATIONAL PATIENT REGISTRY

KW - MATCHMAKING

KW - CHALLENGES

KW - GENOMICS

KW - DISEASE

U2 - 10.1146/annurev-biodatasci-012920-013357

DO - 10.1146/annurev-biodatasci-012920-013357

M3 - Review

VL - 3

SP - 391

EP - 410

JO - Annual Review of Biomedical Data Science

JF - Annual Review of Biomedical Data Science

SN - 2574-3414

ER -

ID: 285187531