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具有通过知识发现和算法开发提升患者护理水平的潜力。广泛重用医疗数据以实现最大公共利益是理想的选择，但数据共享必须以保护患者隐私的方式进行。医疗重症监护信息市场（MIMIC）-III数据库为贝斯以色列女执事医疗中心（BIDMC）重症监护病房接收的超过40,000名患者的重症监护数据提供了关键信息。值得注意的是，MIMIC-III已去标识化，并根据《健康保险可携带性和问责制法案》（HIPAA）的“安全港”条款移除了患者标识符。MIMIC-III在推动临床信息学、流行病学和机器学习的大量研究方面发挥了至关重要的作用。在此，我们介绍MIMIC-IV，它是MIMIC-III的更新版本，集成了当代数据，并在多个方面对MIMIC-III进行了改进。MIMIC-IV采用模块化数据组织方法，凸显数据来源，并促进不同数据源的单个和综合使用。MIMIC-IV旨在延续MIMIC-III的成功，并支持医疗保健领域广泛的适用场景。