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MIMIC-IV, a freely accessible electronic health record dataset
Digital data collection during routine clinical practice is now ubiquitous within hospitals. The data contains valuable information on the care of patients and their response to treatments, offering exciting opportunities for research. Typically, data are stored within archival systems that are not...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9810617/ https://www.ncbi.nlm.nih.gov/pubmed/36596836 http://dx.doi.org/10.1038/s41597-022-01899-x |
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author | Johnson, Alistair E. W. Bulgarelli, Lucas Shen, Lu Gayles, Alvin Shammout, Ayad Horng, Steven Pollard, Tom J. Hao, Sicheng Moody, Benjamin Gow, Brian Lehman, Li-wei H. Celi, Leo A. Mark, Roger G. |
author_facet | Johnson, Alistair E. W. Bulgarelli, Lucas Shen, Lu Gayles, Alvin Shammout, Ayad Horng, Steven Pollard, Tom J. Hao, Sicheng Moody, Benjamin Gow, Brian Lehman, Li-wei H. Celi, Leo A. Mark, Roger G. |
author_sort | Johnson, Alistair E. W. |
collection | PubMed |
description | Digital data collection during routine clinical practice is now ubiquitous within hospitals. The data contains valuable information on the care of patients and their response to treatments, offering exciting opportunities for research. Typically, data are stored within archival systems that are not intended to support research. These systems are often inaccessible to researchers and structured for optimal storage, rather than interpretability and analysis. Here we present MIMIC-IV, a publicly available database sourced from the electronic health record of the Beth Israel Deaconess Medical Center. Information available includes patient measurements, orders, diagnoses, procedures, treatments, and deidentified free-text clinical notes. MIMIC-IV is intended to support a wide array of research studies and educational material, helping to reduce barriers to conducting clinical research. |
format | Online Article Text |
id | pubmed-9810617 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-98106172023-01-05 MIMIC-IV, a freely accessible electronic health record dataset Johnson, Alistair E. W. Bulgarelli, Lucas Shen, Lu Gayles, Alvin Shammout, Ayad Horng, Steven Pollard, Tom J. Hao, Sicheng Moody, Benjamin Gow, Brian Lehman, Li-wei H. Celi, Leo A. Mark, Roger G. Sci Data Data Descriptor Digital data collection during routine clinical practice is now ubiquitous within hospitals. The data contains valuable information on the care of patients and their response to treatments, offering exciting opportunities for research. Typically, data are stored within archival systems that are not intended to support research. These systems are often inaccessible to researchers and structured for optimal storage, rather than interpretability and analysis. Here we present MIMIC-IV, a publicly available database sourced from the electronic health record of the Beth Israel Deaconess Medical Center. Information available includes patient measurements, orders, diagnoses, procedures, treatments, and deidentified free-text clinical notes. MIMIC-IV is intended to support a wide array of research studies and educational material, helping to reduce barriers to conducting clinical research. Nature Publishing Group UK 2023-01-03 /pmc/articles/PMC9810617/ /pubmed/36596836 http://dx.doi.org/10.1038/s41597-022-01899-x Text en © The Author(s) 2023, corrected publication 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Data Descriptor Johnson, Alistair E. W. Bulgarelli, Lucas Shen, Lu Gayles, Alvin Shammout, Ayad Horng, Steven Pollard, Tom J. Hao, Sicheng Moody, Benjamin Gow, Brian Lehman, Li-wei H. Celi, Leo A. Mark, Roger G. MIMIC-IV, a freely accessible electronic health record dataset |
title | MIMIC-IV, a freely accessible electronic health record dataset |
title_full | MIMIC-IV, a freely accessible electronic health record dataset |
title_fullStr | MIMIC-IV, a freely accessible electronic health record dataset |
title_full_unstemmed | MIMIC-IV, a freely accessible electronic health record dataset |
title_short | MIMIC-IV, a freely accessible electronic health record dataset |
title_sort | mimic-iv, a freely accessible electronic health record dataset |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9810617/ https://www.ncbi.nlm.nih.gov/pubmed/36596836 http://dx.doi.org/10.1038/s41597-022-01899-x |
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