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Nursing Clinical Information System

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Acute Respiratory Failure-II01:21

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Hospitals-II00:59

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Pulmonary Embolism II: Diagnostic Studies and Interprofessional Care01:29

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Related Experiment Video

Updated: May 25, 2026

Observational Study Protocol for Repeated Clinical Examination and Critical Care Ultrasonography Within the Simple Intensive Care Studies
10:38

Observational Study Protocol for Repeated Clinical Examination and Critical Care Ultrasonography Within the Simple Intensive Care Studies

Published on: January 16, 2019

Open-access MIMIC-II database for intensive care research.

Joon Lee1, Daniel J Scott, Mauricio Villarroel

  • 1Harvard-MIT Division of Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA, USA. joonlee@mit.edu

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
|January 19, 2012
PubMed
Summary
This summary is machine-generated.

The Multiparameter Intelligent Monitoring in Intensive Care II (MIMIC-II) database offers a free, deidentified resource for clinical data mining. This public ICU database supports transparent and efficient research in intensive care medicine.

Related Experiment Videos

Last Updated: May 25, 2026

Observational Study Protocol for Repeated Clinical Examination and Critical Care Ultrasonography Within the Simple Intensive Care Studies
10:38

Observational Study Protocol for Repeated Clinical Examination and Critical Care Ultrasonography Within the Simple Intensive Care Studies

Published on: January 16, 2019

Area of Science:

  • Biomedical Informatics
  • Critical Care Medicine
  • Data Science

Background:

  • Intensive care unit (ICU) patients generate vast amounts of multi-parameter data.
  • Clinical data mining presents opportunities for advancing critical care research.
  • A need exists for transparent and efficient research communities in intensive care.

Purpose of the Study:

  • To create a publicly available ICU database named Multiparameter Intelligent Monitoring in Intensive Care II (MIMIC-II).
  • To foster a more transparent and efficient intensive care research community.
  • To provide a comprehensive resource for clinical data mining in critical care.

Main Methods:

  • Collected clinical data and physiological waveforms from Beth Israel Deaconess Medical Center ICUs (2001-2008).
  • Organized clinical data (demographics, medications, labs) into a relational database.
  • Stored deidentified physiological waveforms (125 Hz signals, vital signs) in an open-source format.
  • Ensured data deidentification to remove protected health information.

Main Results:

  • The MIMIC-II database (version 2.6) includes data from 26,870 adult hospital admissions.
  • It comprises two main components: structured clinical data and raw physiological waveforms.
  • Data access is available to researchers after signing a data use agreement and completing human subjects training.

Conclusions:

  • MIMIC-II serves as an invaluable, free resource for intensive care research.
  • The database supports diverse studies, including clinical decision support algorithm development and retrospective analyses.
  • It is expected to stimulate fair comparisons and advance the field of critical care research.