Resources

Analysis of real-world glucose and insulin clinical data recorded in electronic health records can provide insights into tailored approaches to clinical care, but still present many analytic challenges. The present data subsets are the result of a d…

The SICdb dataset offers insights into over 27 thousand intensive care admissions, including therapies and data on preceding surgeries. Data were collected between 2013 and 2021 from four different intensive care units at the University Hospital Sal…

The Paediatric Intensive Care (PIC) database is a large paediatric-specific, single-center, bilingual database comprising information relating to children admitted to critical care units at a large children’s hospital in China. The database is de-id…

Medical Information Mart for Intensive Care Brazil (MIMIC-BR) is a database of anonymized clinical data from ICU and hospital admissions in Brazil. The dataset format and intended use match the original large, freely available database comprising de…

The EchoNotes Structured Database derived from MIMIC-III (ECHO-NOTE2NUM) is a structured echocardiogram database derived from 43,472 observational notes obtained during echocardiogram studies conducted in the intensive care unit at the Beth Israel D…

A crucial step within secondary analysis of electronic health records (EHRs) is to identify the patient cohort under investigation. While EHRs contain medical billing codes that aim to represent the conditions and treatments patients may have, much …

Patients treated in the intensive care unit (ICU) are closely monitored and receive intensive treatment. Such aggressive monitoring and treatment will generate high-granularity data from both electronic healthcare records and nursing chart. These da…

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 manne…

This resource shares processed frontal electroencephalography (EEG) data collected from adult patients undergoing non-emergency, non-cardiac surgery with general anaesthesia at four hospitals. The dataset was generated to study neurophysiological si…

MIMIC-IV-Ext-CLIF is a derived dataset of MIMIC-IV v3.1, transformed into the Common Longitudinal ICU data Format (CLIF). CLIF is an open-source critical care data model developed by a consortium of more than 10 US academic medical centers to standa…