Standardized Health data and Research Exchange (SHaRE): promoting a learning health system

被引:5
|
作者
Davis, Sierra [1 ]
Ehwerhemuepha, Louis [2 ]
Feaster, William [2 ]
Hackman, Jeffrey [3 ,4 ]
Morizono, Hiroki [5 ]
Kanakasabai, Saravanan [6 ]
Mosa, Abu Saleh Mohammad [7 ]
Parker, Jerry [7 ]
Iwamoto, Gary [8 ]
Patel, Nisha [1 ]
Gasparino, Gary [9 ]
Kane, Natalie [1 ]
Hoffman, Mark A. [1 ,4 ]
机构
[1] Childrens Mercy Hosp, Childrens Mercy Res Inst, 2401 Gilham, Kansas City, MO 64108 USA
[2] Childrens Hosp Orange Cty, Dept Pediat, Orange, CA 92668 USA
[3] Truman Med Ctr, Dept Emergency Med, Kansas City, MO USA
[4] Univ Missouri, Dept Biomed & Hlth Informat, Kansas City, MO 64110 USA
[5] Childrens Natl Hosp, Dept Pediat, Washington, DC USA
[6] Indiana Univ Hlth Syst, Clin Res Syst, Indianapolis, IN USA
[7] Univ Missouri, Res Informat, Columbia, MO USA
[8] Univ New Mexico, Dept Internal Med, Albuquerque, NM 87131 USA
[9] Cerner Corp, Cerner Enviza, Kansas City, MO USA
关键词
electronic health record; data sharing; data science; learning health system; MORTALITY;
D O I
10.1093/jamiaopen/ooab120
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
Aggregate de-identified data from electronic health records (EHRs) provide a valuable resource for research. The Standardized Health data and Research Exchange (SHaRE) is a diverse group of US healthcare organizations contributing to the Cerner Health Facts (HF) and Cerner Real-World Data (CRWD) initiatives. The 51 facilities at the 7 founding organizations have provided data about more than 4.8 million patients with 63 million encounters to HF and 7.4 million patients and 119 million encounters to CRWD. SHaRE organizations unmask their organization IDs and provide 3-digit zip code (zip3) data to support epidemiology and disparity research. SHaRE enables communication between members, facilitating data validation and collaboration as we demonstrate by comparing imputed EHR module usage to actual usage. Unlike other data sharing initiatives, no additional technology installation is required. SHaRE establishes a foundation for members to engage in discussions that bridge data science research and patient care, promoting the learning health system.
引用
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页数:7
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