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AmsterdamUMCdb is the first freely accessible European intensive care database. It is endorsed by the European Society of Intensive Care Medicine (ESICM) and its Data Science Section. It contains de-identified health data related to tens of thousands of intensive care unit admissions, including demographics, vital signs, laboratory tests and medications.
The current version of AmsterdamUMCdb is 1.0.2, released in March 2020. This version contains data related to 23,172 intensive care unit and high dependency unit admissions of adult patients from 2003-2016. The first version of AmsterdamUMCdb (1.0) was released in November 2019.
The database, although de-identified, still contains detailed information regarding the clinical care of patients, so must be treated with appropriate care and respect and cannot be shared without permission. To request access, go to the Amsterdam Medical Data Science website.
The current database contains data from the clinical patient data management system of the department of Intensive Care, a mixed medical-surgical ICU, from Amsterdam University Medical Center. The clinical data contains 23,106 admissions of 20,109 patients admitted from 2003 to 2016 with a total of almost 1.0 billion clinical observations consisting of vitals, clinical scoring systems, device data and lab results data and nearly 5.0 million medication records.
The table and field definitions are available from this wiki and from Jupyter Notebooks in
the tables folder from the AmsterdamUMCdb code
repository.
Table name | Description |
---|---|
admissions | admissions and demographic data of the patients admitted to the ICU or MCU |
drugitems | medication orders including fluids, (parenteral) feeding and blood transfusions during the stay on the ICU |
freetextitems | observations, including laboratory results, that are based on non-numeric (text) data |
listitems | categorial observations, e.g. based on a selection from a list, like type of heart rhytm, ventilatory mode, etc. |
numericitems | numerical measurements and observations, including vital parameters, data from medical devices, lab results, outputs from drains and foley-catheters, scores etc. |
procedureorderitems | procedures and tasks, such as performing a chest X-ray, drawing blood and daily ICU nursing care and scoring |
processitems | catheters, drains, tubes, and continous non-medication processes (e.g. renal replacement therapy, hypothermia induction, etc.) |
AmsterdamUMCdb - Freely Accessible ICU Database
version 1.0.2 March 2020
Copyright © 2003-2022 Laboratory for Critical Care Computational Intelligence - Amsterdam UMC - Amsterdam Medical Data Science