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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Veröffentlicht in:Scientific data Jg. 10; H. 1; S. 1 - 9
Hauptverfasser: 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.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: London Nature Publishing Group UK 03.01.2023
Nature Publishing Group
Nature Portfolio
Schlagworte:
692/308/174
692/700/228
692/700/478
Archives & records
Clinical medicine
Codes
Collaboration
Critical care
Data collection
Data Descriptor
Data warehouses
Databases, Factual
Datasets
Diagnosis related groups
DRGs
Electronic Health Records
Electronic medical records
Homo sapiens
Hospitals
Humanities and Social Sciences
Humans
Information systems
Intensive care
Medicare
Mortality
multidisciplinary
Patients
Pediatrics
Science
Science (multidisciplinary)
Structured Query Language-SQL
Virtual private networks
ISSN:2052-4463, 2052-4463
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Beschreibung
Zusammenfassung: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
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ISSN:2052-4463
2052-4463
DOI:10.1038/s41597-022-01899-x