• 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