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...
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| Vydáno v: | Scientific data Ročník 10; číslo 1; s. 1 - 9 |
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| Hlavní autoři: | , , , , , , , , , , , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
London
Nature Publishing Group UK
03.01.2023
Nature Publishing Group Nature Portfolio |
| Témata: | |
| ISSN: | 2052-4463, 2052-4463 |
| On-line přístup: | Získat plný text |
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| Abstract | 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.
Measurement(s)
Homo sapiens
Technology Type(s)
Electronic Health Record
Sample Characteristic - Organism
Homo sapiens
Sample Characteristic - Environment
hospital
Sample Characteristic - Location
Commonwealth of Massachusetts |
|---|---|
| AbstractList | Abstract 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. 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.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. 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. Measurement(s) Homo sapiens Technology Type(s) Electronic Health Record Sample Characteristic - Organism Homo sapiens Sample Characteristic - Environment hospital Sample Characteristic - Location Commonwealth of Massachusetts 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.Measurement(s)Homo sapiensTechnology Type(s)Electronic Health RecordSample Characteristic - OrganismHomo sapiensSample Characteristic - EnvironmenthospitalSample Characteristic - LocationCommonwealth of Massachusetts 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. Measurement(s)Homo sapiensTechnology Type(s)Electronic Health RecordSample Characteristic - OrganismHomo sapiensSample Characteristic - EnvironmenthospitalSample Characteristic - LocationCommonwealth of Massachusetts 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. |
| ArticleNumber | 1 |
| Author | Lehman, Li-wei H. Mark, Roger G. Shammout, Ayad Horng, Steven Hao, Sicheng Bulgarelli, Lucas Gayles, Alvin Pollard, Tom J. Gow, Brian Moody, Benjamin Celi, Leo A. Shen, Lu Johnson, Alistair E. W. |
| Author_xml | – sequence: 1 givenname: Alistair E. W. surname: Johnson fullname: Johnson, Alistair E. W. email: aewj@mit.edu organization: Massachusetts Institute of Technology, The Hospital for Sick Children – sequence: 2 givenname: Lucas orcidid: 0000-0001-5456-2170 surname: Bulgarelli fullname: Bulgarelli, Lucas organization: Massachusetts Institute of Technology – sequence: 3 givenname: Lu surname: Shen fullname: Shen, Lu organization: Beth Israel Deaconess Medical Center – sequence: 4 givenname: Alvin surname: Gayles fullname: Gayles, Alvin organization: Beth Israel Deaconess Medical Center – sequence: 5 givenname: Ayad surname: Shammout fullname: Shammout, Ayad organization: Beth Israel Deaconess Medical Center – sequence: 6 givenname: Steven orcidid: 0000-0002-0958-1820 surname: Horng fullname: Horng, Steven organization: Beth Israel Deaconess Medical Center – sequence: 7 givenname: Tom J. orcidid: 0000-0002-5676-7898 surname: Pollard fullname: Pollard, Tom J. organization: Massachusetts Institute of Technology – sequence: 8 givenname: Sicheng surname: Hao fullname: Hao, Sicheng organization: Massachusetts Institute of Technology – sequence: 9 givenname: Benjamin surname: Moody fullname: Moody, Benjamin organization: Massachusetts Institute of Technology – sequence: 10 givenname: Brian orcidid: 0000-0002-7682-1943 surname: Gow fullname: Gow, Brian organization: Massachusetts Institute of Technology – sequence: 11 givenname: Li-wei H. surname: Lehman fullname: Lehman, Li-wei H. organization: Massachusetts Institute of Technology – sequence: 12 givenname: Leo A. orcidid: 0000-0001-6712-6626 surname: Celi fullname: Celi, Leo A. organization: Massachusetts Institute of Technology, Beth Israel Deaconess Medical Center – sequence: 13 givenname: Roger G. orcidid: 0000-0002-6318-2978 surname: Mark fullname: Mark, Roger G. organization: Massachusetts Institute of Technology |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/36596836$$D View this record in MEDLINE/PubMed |
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| Cites_doi | 10.1145/3368555.3384455 10.13026/1cjn-2370 10.1186/1472-6947-8-32 10.13026/C20M3F 10.5281/zenodo.5579577 10.5281/zenodo.6470616 10.1093/jamia/ocx084 10.1371/journal.pbio.1001745 10.1038/sdata.2018.178 10.13026/07hj-2a80 10.13026/8a4q-w170 10.1097/CCM.0000000000004916 10.1038/s41597-020-0355-4 10.5281/zenodo.3233003 10.1038/sdata.2016.35 10.1111/1475-6773.13069 10.1161/01.CIR.101.23.e215 10.1097/CCM.0b013e31820a92c6 10.1038/s41591-020-0789-4 10.5281/zenodo.7373912 |
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| References_xml | – reference: JohnsonAEWMIMIC-IV (latest version)202210.13026/07hj-2a80PhysioNet – reference: PollardTJThe eICU collaborative research database, a freely available multi-center database for critical care researchScientific data2018511310.1038/sdata.2018.178 – reference: HylandSLEarly prediction of circulatory failure in the intensive care unit using machine learningNature medicine2020263643731:CAS:528:DC%2BB3cXksFKmuro%3D10.1038/s41591-020-0789-432152583 – reference: Moody, G. B. & Mark, R. G. A database to support development and evaluation of intelligent intensive care monitoring. In Computers in Cardiology 1996, 657–660 (IEEE, 1996). – reference: Faltys, M. et al. Hirid, a high time-resolution ICU dataset (version 1.1.1). PhysioNet (2021). – reference: GoldbergerALPhysiobank, physiotoolkit, and physionet: components of a new research resource for complex physiologic signalscirculation2000101e215e2201:STN:280:DC%2BD3czhtFGisw%3D%3D10.1161/01.CIR.101.23.e21510851218 – reference: JohnsonAEMIMIC-III, a freely accessible critical care databaseScientific data201631910.1038/sdata.2016.35 – reference: Fontaine, D. PGLoader. ver. 3.6.2. https://github.com/dimitri/pgloader (2020). – reference: SaeedMMultiparameter intelligent monitoring in intensive care ii (MIMIC-II): a public-access intensive care unit databaseCritical care medicine20113995210.1097/CCM.0b013e31820a92c621283005 – reference: DouglassMLongWJNeamatullahIwei LehmanLDeidentification software package200710.13026/C20M3FPhysioNet – reference: PollardTJMIT-LCP/mimic-website: MIMICWebsite v1.0202210.5281/zenodo.7373912Zenodo – reference: Shafranovich, Y. Common Format and MIME Type for Comma-Separated Values (CSV) Files. https://datatracker.ietf.org/doc/html/rfc4180. – reference: ZengXPIC, a paediatric-specific intensive care databaseScientific data20207181:CAS:528:DC%2BB3cXhsFKjt7bO10.1038/s41597-020-0355-4 – reference: JohnsonAEWMIT-LCP/mimic-code: MIMIC Code v1.4.2201910.5281/zenodo.3233003Zenodo – reference: JohnsonAEWMIMIC-IV-Note: Deidentified free-text clinical notes (latest version)202210.13026/1cjn-2370PhysioNet – reference: for Medicare & Medicaid Services, C. ICD-10. https://www.cms.gov/Medicare/Coding/ICD10 (2020). – reference: ThoralPJSharing ICU patient data responsibly under the society of critical care medicine/european society of intensive care medicine joint data science collaboration: the amsterdam university medical centers database (AmsterdamUMCdb) exampleCritical care medicine202149e56310.1097/CCM.000000000000491633625129 – reference: NeamatullahIAutomated de-identification of free-text medical recordsBMC medical informatics and decision making2008811710.1186/1472-6947-8-32 – reference: MassHealth. Special notices for acute hospitals. https://www.mass.gov/service-details/special-notices-for-acute-hospitals (2020). – reference: de BruinJJ535d165/recordlinkage: Release v0.15202210.5281/zenodo.6470616Zenodo – reference: JohnsonAEWPollardTJMarkRGR. G. 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| Title | MIMIC-IV, a freely accessible electronic health record dataset |
| URI | https://link.springer.com/article/10.1038/s41597-022-01899-x https://www.ncbi.nlm.nih.gov/pubmed/36596836 https://www.proquest.com/docview/2760394102 https://www.proquest.com/docview/2760817348 https://pubmed.ncbi.nlm.nih.gov/PMC9810617 https://doaj.org/article/87ad030cf80044449c8297af0def7c70 |
| Volume | 10 |
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