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.