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MOVER Dataset: Medical Informatics Operating Room Vitals and Events Repository

Key Points:

  • MOVER dataset compiles detailed data from 58,799 patients across 83,468 surgeries, including medical histories, surgery specifics, and high-fidelity physiological waveforms.
  • Privacy-centric, MOVER follows stringent de-identification processes.
  • As part of the NIH’s “Bridge to AI” initiative, MOVER mirrors the MIMIC database in ICUs but focuses on surgical settings.
MOVER Dataset merges health records with physiological waveform data from 83,000 surgeries for AI research to enhance patient outcomes.

Overview

Researchers from UCLA and UC Irvine have developed the Medical Informatics Operating Room Vitals and Events Repository (MOVER), a repository combining electronic health record data and high-fidelity physiological waveform data from tens of thousands of surgeries. This repository is designed to leverage artificial intelligence to enhance patient outcomes in surgical settings. 

MOVER data 

MOVER is unique in offering comprehensive data from 58,799 patients and 83,468 surgeries conducted at the University of California, Irvine Medical Center, between 2015 and 2022. It includes detailed medical histories, surgery specifics, medication usage, and postoperative complications. Importantly, it comprises real-time high-fidelity physiological waveforms like EKG readings, which are crucial for clinical decision-making in acute care settings. 

MOVER dataset and privacy

MOVER, which aligns with patient privacy laws by excluding personal identifiers. The MOVER team has meticulously ensured patient privacy throughout development, employing rigorous de-identification techniques. This project makes this extensive database available to legitimate researchers under a data use agreement. 

Bridge to AI initiative

This initiative parallels the MIMIC database used in intensive care units but uniquely focuses on surgical settings. MOVER aims to expedite the integration of AI into healthcare, potentially enhancing patient outcomes by providing a rich data source for developing and testing AI algorithms, particularly in the perioperative setting. This initiative is part of a broader NIH initiative called “Bridge to AI,” which seeks to standardize and unify such data across multiple institutions. 

Reference

  •  “MOVER: Medical Informatics Operating Room Vitals and Events Repository.” UCI Machine Learning Repository. https://doi.org/10.24432/C5VS5G
  • Samad, Muntaha, Mirana Angel, Joseph Rinehart, Yuzo Kanomata, Pierre Baldi, and Maxime Cannesson. 2023. “Medical Informatics Operating Room Vitals and Events Repository (MOVER): A Public-Access Operating Room Database.” JAMIA Open 6 (4): ooad084. https://doi.org/10.1093/jamiaopen/ooad084.

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