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 the surgical cases) who underwent anesthesia for surgery at an academic institution in South Korea over a ten-year period between 2011 and 2020. (For version 0.1, only about 52,000 cases, 20% of the surgical cases, were included.) 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.本研究公开了INSPIRE数据集，这是一套面向围术期医学的可公开获取的科研数据集。该数据集涵盖2011至2020年十年间，韩国某学术医疗机构内接受手术麻醉的约13万例手术病例（占同期手术总病例数的50%）。（0.1版本仅纳入约5.2万例病例，占同期手术总病例数的20%。）该全面数据集包含患者基线特征，具体包括年龄、性别、美国麻醉医师协会（American Society of Anesthesiologists，ASA）身体状况分级、诊断信息、手术操作编码、手术科室及麻醉方式。此外，数据集还收录了手术室、普通病房与重症监护病房（intensive care units, 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记录。该数据集涵盖的并发症相关结局指标包括总住院时长、ICU停留时长及院内死亡事件。本团队期望该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，助力手术预后水平的提升。

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，包含约130,000个手术麻醉病例，覆盖2011年至2020年韩国一家学术医院的数据。该数据集综合了患者特征、生命体征、实验室结果、药物使用和并发症信息，旨在促进协作研究并作为外部验证资源，以改善手术结局和开发预测模型。