| URL: | https://physionet.org/content/mimiciv/3.1/ |
| Full name: | MIMIC-IV |
| Description: | Retrospectively collected medical data has the opportunity to improve patient care through knowledge discovery and algorithm development. Broad reuse of medical data is desirable for the greatest public good, but data sharing must be done in a manner which protects patient privacy. |
| Year founded: | 2023 |
| Last update: | 2023-01-03 |
| Version: | v3.1 |
| Accessibility: |
Accessible
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| Country/Region: | United States |
| Data type: | |
| Data object: | |
| Database category: | |
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| University/Institution: | Massachusetts Institute of Technology |
| Address: | Laboratory for Computational Physiology, MIT Institute for Medical Engineering and Science, Massachusetts Institute of Technology, 45 Carleton Street, Cambridge, MA 02142, USA. |
| City: | Cambridge |
| Province/State: | Massachusetts |
| Country/Region: | United States |
| Contact name (PI/Team): | Roger G. Mark |
| Contact email (PI/Helpdesk): | physionet-support@physionet.org |
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MIMIC-IV, a freely accessible electronic health record dataset. [PMID: 36596836]
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. |