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.

本报告展示了一项名为 INSPIRE 的公开研究数据集，该数据集涵盖围手术期医学领域，内容约为 130,000 例（占总手术案例的 50%）于 2011 至 2020 年间在韩国一所学术机构接受麻醉手术的患者案例。该数据集内容详尽，包括患者特征如年龄、性别、美国麻醉医师学会的生理状态分类、诊断、手术操作代码、科室及麻醉类型等。此外，还包括手术室内、普通病房及重症监护室（ICU）的生命体征记录，以及从入院前六个月至出院后六个月的实验室检查结果，以及住院期间的用药情况。并发症方面，则涵盖了总住院天数和 ICU 住院天数，以及院内死亡情况。我们期望该数据集能够激发围手术期医学领域的协作研究与开发，并作为可重复的外部验证数据集，以提升手术效果。