INSPIRE, a publicly available research dataset for perioperative medicine

We present the INSPIRE dataset, a publicly available research dataset in perioperative medicine, which includes approximately 130,000 cases (50% of all surgical cases) who underwent anesthesia for surgery at an academic institution in South Korea between 2011 and 2020. This comprehensive dataset includes patient characteristics such as age, sex, American Society of Anesthesiologists physical status classification, diagnosis, surgical procedure code, department, and type of anesthesia. It also includes vital signs in the operating theatre, general wards, and intensive care units (ICUs), laboratory results from six months before admission to six months after discharge, and medication during hospitalization. Complications include total hospital and ICU length of stay and in-hospital death. We hope this dataset will inspire collaborative research and development in perioperative medicine and serve as a reproducible external validation dataset to improve surgical outcomes.本研究介绍了INSPIRE数据集，这是一款可公开获取的围术期医学领域研究数据集。该数据集涵盖2011年至2020年间，韩国某学术医疗机构内接受手术麻醉的约13万例病例，占该机构同期所有外科手术病例的50%。该综合数据集包含患者基线特征信息，具体包括年龄、性别、美国麻醉医师协会身体状态分级（American Society of Anesthesiologists physical status classification）、诊断信息、手术操作代码、就诊科室以及麻醉方式。此外，数据集还收录了手术室、普通病房及重症监护室（intensive care units, ICU）内的生命体征数据，患者入院前6个月至出院后6个月的实验室检查结果，以及住院期间的用药信息。该数据集同时涵盖并发症相关结局指标，包括总住院时长、重症监护室停留时长及院内死亡。本团队期望该数据集能够如其名称一般，启发围术期医学领域的协同研究与开发，并作为可复现的外部验证数据集，助力改善外科手术预后。

搜集汇总

背景与挑战

背景概述

INSPIRE是一个公开的围手术期医学研究数据集，包含2011年至2020年韩国一家学术医院的约13万例手术病例数据，涵盖患者特征、生命体征、实验室结果和用药信息。该数据集旨在为围手术期医学的协作研究和机器学习模型的外部验证提供支持，以改善手术患者预后。