Performance of Comprehensive Risk Adjustment for the Prediction of In-Hospital Events Using Administrative Healthcare Data: The Queralt Indices.

David MonterdeMiguel Cainzos-AchiricaYolima Cossio-GilLuis García-ErolesPol Pérez Sust Miquel Arrufat Candela Calle Josep Comín Colet César Velasco Muñoz

Published in: Risk management and healthcare policy (2020)

Our findings suggest that risk adjustment should go beyond pre-existing comorbidities and include principal discharge diagnoses and in-hospital complications. Validation of comprehensive risk adjustment tools such as the Queralt indices in other settings is needed.

Keyphrases

healthcare
emergency department
machine learning
big data
electronic health record
social media
deep learning
artificial intelligence
drug induced