Integration of real-time and off-line clinical data in the MIMIC database

Abstract

The MIMIC (Multi-parameter Intelligent Monitoring for Intensive Care) database is a collection of recorded physiological signals and clinical data that is intended to support the development and evaluation of automated decision support systems for intensive care settings. Each patient record typically includes 24 to 48 hours of continuous real-time signals (e.g. ECGs, blood pressure waveforms or respiration) and derived measurements (e.g. heart rate or systolic blood pressure), together with clinical data derived from the patient's medical record and from the hospital's clinical computing systems. The clinical data are encoded using structured HTML (readable using a standard Web browser, or by a decision support system or other automated application). An important element of this encoding is a reconstruction of the medical record in the form of a time-line of events, which permits a detailed and repeatable simulation of the inputs that are potentially available to a real-time "intelligent" ICU monitor.