How to customize common data models for rare diseases: an OMOP-based implementation and lessons learned.

Najia AhmadiMichele ZochOya GuengoezeCarlo FacchinelloAntonia MondorfKatharina StratmannKhader MuslehHans-Peter ErasmusJana TchertovRichard GeblerJannik SchaafLena S FrischenAzadeh NasirianJiabin DaiElisa HenkeDouglas TremblayAndrew SrisuwananukornMartin BornhäuserChristoph RölligJan-Niklas EckardtJan Moritz MiddekeMarkus WolfienMartin Sedlmayr

Published in: Orphanet journal of rare diseases (2024)

The customized data structure related to our RD-CDM can be used to perform multi-center studies to test data-driven hypotheses on a larger scale and take advantage of the analytical tools offered by the OHDSI community.

Keyphrases

electronic health record
healthcare
big data
mental health
data analysis
mass spectrometry
artificial intelligence
drug induced