MIMIC-IV

Retrospectively collected medical data has the opportunity to improve patient
care through knowledge discovery and algorithm development. Broad reuse of
medical data is desirable for the greatest public good, but data sharing must
be done in a manner which protects patient privacy. Here we present Medical
Information Mart for Intensive Care (MIMIC)-IV, a large deidentified dataset
of patients admitted to the emergency department or an intensive care unit at
the Beth Israel Deaconess Medical Center in Boston, MA. MIMIC-IV contains data
for over 65,000 patients admitted to an ICU and over 200,000 patients admitted
to the emergency department. MIMIC-IV incorporates contemporary data and
adopts a modular approach to data organization, highlighting data provenance
and facilitating both individual and combined use of disparate data sources.
MIMIC-IV is intended to carry on the success of MIMIC-III and support a broad
set of applications within healthcare.

回顾性收集的医疗数据可通过知识发现与算法开发，助力提升患者诊疗质量。为谋求最广泛的公共福祉，医疗数据的广泛复用极具价值，但数据共享必须以保护患者隐私为前提。本研究介绍了重症监护医疗信息数据集（Medical Information Mart for Intensive Care, MIMIC-IV）：该数据集为大规模去标识化数据集，涵盖美国马萨诸塞州波士顿贝斯以色列女执事医疗中心急诊科（emergency department）与重症监护病房（intensive care unit, ICU）收治的患者相关数据。MIMIC-IV包含超过6.5万名重症监护病房收治患者与20余万名急诊科就诊患者的诊疗数据。该数据集纳入了当代临床数据，并采用模块化的数据组织方式，突出数据溯源特性，同时便于对异构数据源进行单独使用或组合复用。MIMIC-IV旨在延续MIMIC-III的成功实践，为医疗领域的多样化应用提供支撑。

搜集汇总

背景与挑战

背景概述

MIMIC-IV是一个去标识化的医疗数据集，包含急诊科和重症监护病房的患者数据，旨在支持医疗研究和算法开发。数据集分为hosp和icu两个模块，分别来源于医院范围的电子健康记录和ICU特定的信息系统，最新版本v3.0包含超过36万独特患者的数据。