Medical Informatics Operating Room Vitals and Events Repository (MOVER): a public-access operating room database

Objectives Artificial intelligence (AI) holds great promise for transforming the healthcare industry. However, despite its potential, AI is yet to see widespread deployment in clinical settings in significant part due to the lack of publicly available clinical data and the lack of transparency in the published AI algorithms. There are few clinical data repositories publicly accessible to researchers to train and test AI algorithms, and even fewer that contain specialized data from the perioperative setting. To address this gap, we present and release the Medical Informatics Operating Room Vitals and Events Repository (MOVER).Materials and Methods This first release of MOVER includes adult patients who underwent surgery at the University of California, Irvine Medical Center from 2015 to 2022. Data for patients who underwent surgery were captured from 2 different sources: High-fidelity physiological waveforms from all of the operating rooms were captured in real time and matched with electronic medical record data.Results MOVER includes data from 58 799 unique patients and 83 468 surgeries. MOVER is available for download at https://doi.org/10.24432/C5VS5G, it can be downloaded by anyone who signs a data usage agreement (DUA), to restrict traffic to legitimate researchers.Discussion To the best of our knowledge MOVER is the only freely available public data repository that contains electronic health record and high-fidelity physiological waveforms data for patients undergoing surgery.Conclusion MOVER is freely available to all researchers who sign a DUA, and we hope that it will accelerate the integration of AI into healthcare settings, ultimately leading to improved patient outcomes. Despite many publications showing artificial intelligence algorithms to be successful in retrospective healthcare studies, there is a very limited amount of freely and publicly available medical data for researchers to work with, to develop and benchmark predictive and other methods in a reproducible manner. This is even more significant in the perioperative setting for patients undergoing surgery and anesthesia. In this article, we present and release a new repository we have constructed called MOVER: Medical Informatics Operating Room Vitals and Events Repository. This repository contains data (electronic medical record data and high-fidelity physiological waveforms data obtained from the bedside physiological monitors) associated with hospital visits for patients undergoing surgery and anesthesia. MOVER is freely available for download for all researchers who sign a data usage agreement: https://doi.org/10.24432/C5VS5G. MOVER is intended to advance a wide variety of healthcare research and serve as a resource to evaluate new clinical decision support and monitoring algorithms.