DocumentCode :
1582866
Title :
Integration of real-time and off-line clinical data in the MIMIC database
Author :
Moody, GB ; Mark, RG
Author_Institution :
Div. of Health Sci. & Technol., MIT, Cambridge, MA, USA
fYear :
1997
Firstpage :
585
Lastpage :
588
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
Keywords :
decision support systems; medical information systems; medical signal processing; page description languages; patient care; patient monitoring; real-time systems; MIMIC database; continuous real-time signals; decision support systems; derived measurements; event time-line; hospital clinical computing systems; intelligent ICU monitor; intensive care; multi-parameter intelligent monitoring; off-line clinical data; patient medical record reconstruction; real-time clinical data; recorded physiological signals; simulation; structured HTML; Biomedical monitoring; Blood pressure; Computerized monitoring; Decision support systems; Deductive databases; Electrocardiography; HTML; Heart rate; Patient monitoring; Pressure measurement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computers in Cardiology 1997
Conference_Location :
Lund
ISSN :
0276-6547
Print_ISBN :
0-7803-4445-6
Type :
conf
DOI :
10.1109/CIC.1997.648019
Filename :
648019
Link To Document :
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