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.我们发布了INSPIRE数据集，这是一款可公开获取的围术期医学研究数据集。该数据集纳入了2011年至2020年间，韩国某学术医疗机构中接受手术麻醉的约13万例病例，占该机构同期所有外科手术病例的50%。 本数据集涵盖多维度信息：患者基线特征包括年龄、性别、美国麻醉医师协会身体状态分级（American Society of Anesthesiologists physical status classification）、诊断结果、手术操作代码、就诊科室及麻醉方式；同时包含手术室、普通病房与重症监护室（Intensive Care Unit，ICU）内的生命体征数据，入院前6个月至出院后6个月的实验室检验结果，以及住院期间的用药信息。 相关结局指标包括总住院时长、ICU停留时长与院内死亡事件。我们期望本数据集能够推动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，助力手术结局的优化。

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年韩国学术机构约13万例手术病例的全面信息，覆盖患者特征、生命体征、实验室结果和并发症。该数据集旨在支持协作研究和作为外部验证工具，以改善手术结果。