American Heart Association Precision Medicine Platform Addresses Challenges in Data Sharing

被引：7

作者：

Stevens, Laura M. ^{[1
,2
,3
]}

de Lemos, James A. ^{[4
]}

Das, Sandeep R. ^{[4
,5
]}

Rutan, Christine ^{[3
]}

Alger, Heather M. ^{[3
]}

Elkind, Mitchell S. V. ^{[6
,7
]}

Zhao, Juan ^{[8
]}

Iyer, Kritika ^{[9
]}

Figueroa, C. Alberto ^{[9
,10
]}

Hall, Jennifer L. ^{[3
,11
]}

机构：

[1] Univ Colorado, Dept Cardiol, Aurora, CO USA

[2] Univ Colorado, Computat Biosci Program, Aurora, CO USA

[3] Amer Heart Assoc, Qual Outcomes Res & Analyt, Dallas, TX USA

[4] Univ Texas Southwestern Med Ctr Dallas, Dallas, TX 75390 USA

[5] Ctr Innovat & Value Parkland, Dallas, TX USA

[6] Columbia Univ, New York Presbyterian Hosp, Mailman Sch Publ Hlth, New York, NY USA

[7] Columbia Univ, Vagelos Coll Phys & Surg, New York, NY USA

[8] Vanderbilt Univ, Med Ctr, Dept Biomed Informat, Nashville, TN USA

[9] Univ Michigan, Dept Biomed Engn, Ann Arbor, MI 48109 USA

[10] Univ Michigan, Dept Surg, Ann Arbor, MI 48109 USA

[11] Univ Minnesota, Dept Med, Lillehei Heart Inst, Box 736 UMHC, Minneapolis, MN 55455 USA

来源：

CIRCULATION-CARDIOVASCULAR QUALITY AND OUTCOMES | 2021年 / 14卷 / 09期

关键词：

clinical study; computational biology; database; machine learning; registries;

D O I：

10.1161/CIRCOUTCOMES.121.007949

中图分类号：

R5 [内科学];

学科分类号：

1002 ; 100201 ;

摘要：

AHA’s PMP has enabled secure delivery of data through agile workspaces that scale with the high-performance compute needs of researchers and allow flexibility in the ready-to-run analysis tools. By listening and partnering with end users, we have overcome many of the hurdles facing researchers today including outdated data governance policies, insufficient data documentation, and inability of cloud-based environments to scale up resources for performance and allow researchers to personalize their workspaces with their own tools and pipelines. © 2021 Lippincott Williams and Wilkins. All rights reserved.

引用

页数：4

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