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. The Medical Information
Mart for Intensive Care (MIMIC)-III database provided critical care data for
over 40,000 patients admitted to intensive care units at the Beth Israel
Deaconess Medical Center (BIDMC). Importantly, MIMIC-III was deidentified, and
patient identifiers were removed according to the Health Insurance Portability
and Accountability Act (HIPAA) Safe Harbor provision. MIMIC-III has been
integral in driving large amounts of research in clinical informatics,
epidemiology, and machine learning. Here we present MIMIC-IV, an update to
MIMIC-III, which incorporates contemporary data and improves on numerous
aspects of MIMIC-III. MIMIC-IV 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有望通过知识发现与算法研发优化患者照护质量。为实现公共利益最大化，医疗数据的广泛复用具备重要价值，但数据共享必须以保障患者隐私为前提。重症监护医疗信息集市（Medical Information Mart for Intensive Care, MIMIC-III）数据库收录了贝斯以色列女执事医疗中心（Beth Israel Deaconess Medical Center, BIDMC）重症监护病房收治的4万余名患者的关键诊疗数据。值得关注的是，MIMIC-III已按照《健康保险流通与责任法案》（Health Insurance Portability and Accountability Act, HIPAA）安全港条款完成去标识化处理，移除了全部患者标识信息。MIMIC-III一直是推动临床信息学、流行病学与机器学习领域大量研究开展的核心支撑资源。本研究推出MIMIC-IV——作为MIMIC-III的升级版本，其纳入了最新的临床数据，并在MIMIC-III的多个维度实现了优化。MIMIC-IV采用模块化的数据组织方式，突出数据溯源特性，既支持单一数据源的独立使用，也支持异构数据源的联合调用。MIMIC-IV旨在延续MIMIC-III的成功实践，为医疗领域内的各类应用提供全面支撑。

搜集汇总

背景与挑战

背景概述

MIMIC-IV是MIMIC-III的更新医学数据库，包含重症监护数据，采用模块化组织以提升数据可追溯性和使用灵活性。该数据集经过去标识化处理，保护患者隐私，旨在支持医疗保健研究、知识发现和算法开发应用。