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.

追溯收集的医学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。为最大限度地造福公众，医学数据的广泛重用是理想的选择，但数据共享必须以保护患者隐私的方式进行。医学重症监护信息市场（MIMIC）-III 数据库为贝斯以色列女执事医疗中心（BIDMC）重症监护病房中超过 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 经过了脱敏处理，并按照健康保险可携带性和问责制法案（HIPAA）的“安全港”条款移除了患者身份标识。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，我们呈现 MIMIC-IV，它是 MIMIC-III 的更新版本，其中融入了最新的数据并优化了 MIMIC-III 的诸多方面。MIMIC-IV 采用了模块化的数据组织方法，强调了数据来源，并促进了不同数据源的独立及联合使用。MIMIC-IV 的目标是延续 MIMIC-III 的成功，并支持医疗保健领域内广泛的应用。