The current version of the MIMIC-III Clinical Database is v1.4 (4 September, 2016).
This database is described in
Please cite this publication when referencing this material, and also include the standard citation for PhysioNet:
MIMIC-III is a large, publicly-available database comprising de-identified health-related data associated with approximately sixty thousand admissions of patients who stayed in critical care units of the Beth Israel Deaconess Medical Center between 2001 and 2012. The database includes information such as demographics, vital sign measurements made at the bedside (~1 data point per hour), laboratory test results, procedures, medications, nurse and physician notes, imaging reports, and out-of-hospital mortality. MIMIC supports a diverse range of analytic studies spanning epidemiology, clinical decision-rule improvement, and electronic tool development. It is notable for three factors:
- it is publicly and freely available.
- it encompasses a diverse and very large population of ICU patients.
- it contains high temporal resolution data including lab results, electronic documentation, and bedside monitor trends and waveforms.
MIMIC-III is an update to MIMIC-II v2.6 and contains the following new classes of data:
- approximately 20,000 additional ICU admissions
- physician progress notes
- medication administration records
- more complete demographic information
- current procedural terminology (CPT) codes and Diagnosis-Related Group (DRG) codes
The MIMIC-III Clinical Database, although de-identified, still contains detailed information regarding the clinical care of patients, and must be treated with appropriate care and respect. Researchers seeking to use the full Clinical Database must formally request access to the MIMIC-III Database.
For more information about the MIMIC-III Clinical Database, please visit http://mimic.physionet.org/.
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PhysioNet is supported by the National Institute of General Medical Sciences (NIGMS) and the National Institute of Biomedical Imaging and Bioengineering (NIBIB) under NIH grant number 2R01GM104987-09.
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