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

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) ini...

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Autores principales: Davis, Sierra, Ehwerhemuepha, Louis, Feaster, William, Hackman, Jeffrey, Morizono, Hiroki, Kanakasabai, Saravanan, Mosa, Abu Saleh Mohammad, Parker, Jerry, Iwamoto, Gary, Patel, Nisha, Gasparino, Gary, Kane, Natalie, Hoffman, Mark A
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8763030/
https://www.ncbi.nlm.nih.gov/pubmed/35047761
http://dx.doi.org/10.1093/jamiaopen/ooab120
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author Davis, Sierra
Ehwerhemuepha, Louis
Feaster, William
Hackman, Jeffrey
Morizono, Hiroki
Kanakasabai, Saravanan
Mosa, Abu Saleh Mohammad
Parker, Jerry
Iwamoto, Gary
Patel, Nisha
Gasparino, Gary
Kane, Natalie
Hoffman, Mark A
author_facet Davis, Sierra
Ehwerhemuepha, Louis
Feaster, William
Hackman, Jeffrey
Morizono, Hiroki
Kanakasabai, Saravanan
Mosa, Abu Saleh Mohammad
Parker, Jerry
Iwamoto, Gary
Patel, Nisha
Gasparino, Gary
Kane, Natalie
Hoffman, Mark A
author_sort Davis, Sierra
collection PubMed
description 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.
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spelling pubmed-87630302022-01-18 Standardized Health data and Research Exchange (SHaRE): promoting a learning health system Davis, Sierra Ehwerhemuepha, Louis Feaster, William Hackman, Jeffrey Morizono, Hiroki Kanakasabai, Saravanan Mosa, Abu Saleh Mohammad Parker, Jerry Iwamoto, Gary Patel, Nisha Gasparino, Gary Kane, Natalie Hoffman, Mark A JAMIA Open Case Report 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. Oxford University Press 2022-01-17 /pmc/articles/PMC8763030/ /pubmed/35047761 http://dx.doi.org/10.1093/jamiaopen/ooab120 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of the American Medical Informatics Association. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Case Report
Davis, Sierra
Ehwerhemuepha, Louis
Feaster, William
Hackman, Jeffrey
Morizono, Hiroki
Kanakasabai, Saravanan
Mosa, Abu Saleh Mohammad
Parker, Jerry
Iwamoto, Gary
Patel, Nisha
Gasparino, Gary
Kane, Natalie
Hoffman, Mark A
Standardized Health data and Research Exchange (SHaRE): promoting a learning health system
title Standardized Health data and Research Exchange (SHaRE): promoting a learning health system
title_full Standardized Health data and Research Exchange (SHaRE): promoting a learning health system
title_fullStr Standardized Health data and Research Exchange (SHaRE): promoting a learning health system
title_full_unstemmed Standardized Health data and Research Exchange (SHaRE): promoting a learning health system
title_short Standardized Health data and Research Exchange (SHaRE): promoting a learning health system
title_sort standardized health data and research exchange (share): promoting a learning health system
topic Case Report
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8763030/
https://www.ncbi.nlm.nih.gov/pubmed/35047761
http://dx.doi.org/10.1093/jamiaopen/ooab120
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