Transforming Anesthesia Data Into the Observational Medical Outcomes Partnership Common Data Model: Development and Usability Study.

Antoine Lamer Osama Abou-Arab Alexandre Bourgeois Adrien Parrot Benjamin Popoff Jean-Baptiste Beuscart Benoît Tavernier Mouhamed Djahoum Moussa

Published in: Journal of medical Internet research (2021)

Generic data concerning demographics, drugs, units, measurements, and operating room steps were already available in OHDSI vocabularies. However, most of the intraoperative concepts (the duration of specific steps, an episode of hypotension, etc) were not present in OHDSI vocabularies. The OMOP mapping provided here enables anesthesia data reuse.

Keyphrases

electronic health record
big data
healthcare
type diabetes
data analysis
high resolution
machine learning
patients undergoing
metabolic syndrome
weight loss
skeletal muscle
deep learning
glycemic control