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

被引:5
|
作者
Moody, GB [1 ]
Mark, RG [1 ]
机构
[1] Harvard Univ, MIT, Div Hlth Sci & Technol, Cambridge, MA 02139 USA
来源
关键词
D O I
10.1109/CIC.1997.648019
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
The MIMIC (Multi-parameter Intelligent Monitoring for Intensive Care) Database is a collection of recorded physiologic signals and clinical data intended to support development and evaluation of automated decision support systems for the intensive care setting. Each patient record typically includes 24 to 48 hours of continuous real-time signals (e.g., ECGs, blood pressure waveforms, respiration) and derived measurements (e.g., heart rate, systolic BP), 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.
引用
收藏
页码:585 / 588
页数:4
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