MIMIC-IV-Note: Deidentified free-text clinical notes

The advent of large, open access text databases has driven advances in state-
of-the-art model performance in natural language processing (NLP). The
relatively limited amount of clinical data available for NLP has been cited as
a significant barrier to the field's progress. Here we describe MIMIC-IV-Note:
a collection of deidentified free-text clinical notes for patients included in
the MIMIC-IV clinical database. MIMIC-IV-Note contains 331,794 deidentified
discharge summaries from 145,915 patients admitted to the hospital and
emergency department at the Beth Israel Deaconess Medical Center in Boston,
MA, USA. The database also contains 2,321,355 deidentified radiology reports
for 237,427 patients. All notes have had protected health information removed
in accordance with the Health Insurance Portability and Accountability Act
(HIPAA) Safe Harbor provision. All notes are linkable to MIMIC-IV providing
important context to the clinical data therein. The database is intended to
stimulate research in clinical natural language processing and associated
areas.

大型开源文本数据库的出现推动了自然语言处理（Natural Language Processing，NLP）领域模型性能的前沿进展。当前可用于自然语言处理的临床数据体量相对有限，这被认为是该领域发展的一大重要阻碍。本文介绍MIMIC-IV-Note：一款面向MIMIC-IV临床数据库收录患者的去标识化自由文本临床笔记数据集。MIMIC-IV-Note包含来自美国马萨诸塞州波士顿市贝斯以色列女执事医疗中心住院及急诊患者的331794份去标识化出院小结，涉及145915名患者。该数据集同时包含237427名患者的2321355份去标识化放射科报告。所有笔记均已按照《健康保险流通与责任法案》（Health Insurance Portability and Accountability Act，HIPAA）安全港条款移除了受保护的健康信息。所有笔记均可与MIMIC-IV进行关联，为其中的临床数据提供重要的上下文信息。该数据集旨在推动临床自然语言处理及相关领域的研究工作。