MIMIC-IV, a freely accessible electronic health record dataset.
Alistair E W JohnsonLucas BulgarelliLu ShenAlvin GaylesAyad ShammoutSteven HorngTom J PollardBenjamin MoodyBrian J GowLi-Wei H LehmanLeo Anthony CeliRoger G MarkPublished in: Scientific data (2023)
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.
Keyphrases
- electronic health record
- clinical decision support
- adverse drug
- clinical practice
- end stage renal disease
- healthcare
- newly diagnosed
- chronic kidney disease
- palliative care
- high resolution
- case report
- peritoneal dialysis
- high throughput
- mass spectrometry
- machine learning
- deep learning
- patient reported outcomes
- artificial intelligence
- case control