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通过知识发现和算法开发，有望提升患者护理水平。广泛利用医疗数据以实现最大公共利益乃为人所向往，然而数据共享的进行必须确保患者隐私得到保护。在本研究中，我们展示了麻省波士顿贝斯以色列女执事医疗中心（Beth Israel Deaconess Medical Center）急诊科或重症监护病房（ICU）入院患者的庞大去标识化数据集——重症监护信息集市（Medical Information Mart for Intensive Care，简称MIMIC）-IV。MIMIC-IV包含超过65,000名入住ICU患者的数据，以及超过200,000名入住急诊科患者的数据。MIMIC-IV融合了当代数据，并采用模块化方法组织数据，凸显数据来源，并促进不同数据源单独及联合使用。MIMIC-IV旨在延续MIMIC-III的成功，并支持医疗保健领域内广泛的应用。

搜集汇总

背景与挑战

背景概述

MIMIC-IV是一个大型去标识化医疗数据集，包含波士顿贝斯以色列女执事医疗中心急诊科和重症监护室的患者数据，涵盖超过36.4万名患者、54.6万次住院和9.4万次ICU住院。数据分为医院模块和ICU模块，提供实验室测量、药物管理、诊断代码等多种临床信息，并经过日期偏移等去标识化处理，可链接其他MIMIC项目以支持医疗研究。