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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...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
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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. |
format | Online Article Text |
id | pubmed-8763030 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
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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