MIMIC-IV, a freely accessible electronic health record dataset
Alistair E. W. Johnson, Lucas Bulgarelli, Lu Shen low, Alvin Gayles low, Ayad Shammout low, Steven Horng, Tom Pollard, Sicheng Hao, Benjamin Moody low, Brian Gow, Li-wei H. Lehman, Leo Anthony Celi, Roger G. Mark
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.
What this paper cites, inside the corpus
| Paper | Year | Cited |
|---|---|---|
| The eICU Collaborative Research Database, a freely available multi-center database for cr… | 2018 | 1,991 |
What cites it, inside the corpus
| Paper | Year | Cited |
|---|---|---|
| Foundation models for generalist medical artificial intelligence | 2023 | 1,840 |
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Topics
| Machine Learning in Healthcare | Computer Science |
| Artificial Intelligence in Healthcare | Health Professions |
| Electronic Health Records Systems | Health Professions |
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