The eICU Collaborative Research Database, a freely available multi-center database for critical care research.

Area of Science:

• Critical care medicine
• Health informatics
• Data science

Background:

• Intensive care units (ICUs) generate vast amounts of patient data.
• Effective data utilization is crucial for advancing critical care.
• Philips Healthcare's eICU Program facilitates remote patient monitoring and data aggregation.

Purpose of the Study:

• To introduce the eICU Collaborative Research Database.
• To highlight its potential for supporting clinical research and developing advanced healthcare tools.
• To promote the use of deidentified, high-granularity ICU data.

Main Methods:

• Creation of a multi-center ICU database from eICU Program data.
• Inclusion of deidentified data from over 200,000 patient admissions.
• Data encompasses vital signs, care plans, severity of illness, diagnoses, and treatments.

Main Results:

• A comprehensive, deidentified database of critical care patient data is now available.
• The database contains high-granularity information for a large patient cohort.
• Data access is provided after registration and completion of specific training.

Conclusions:

• The eICU Collaborative Research Database is a valuable resource for the medical and research community.
• Publicly available data facilitates the development of machine learning algorithms and decision support tools.
• This resource promotes collaborative research in critical care medicine.