A diagnostic accuracy study validating cardiovascular ICD-9-CM codes in healthcare administrative databases. The Umbria Data-Value Project.

Francesco CozzolinoAlessandro MontedoriIosief Abraha Paolo EusebiChiara GrisciAnna Julia HeymannGuido LombardoAnna MengoniMassimiliano OrsoGiuseppe Ambrosio

Published in: PloS one (2019)

The case ascertainment for AMI, AF and flutter, and HF, showed a high level of accuracy (≥ 90%). The healthcare administrative database of the Umbria Region can be confidently used for epidemiological, outcome, and health services research.

Keyphrases

healthcare
atrial fibrillation
big data
acute myocardial infarction
quality improvement
electronic health record
machine learning
emergency department
health information
coronary artery disease
acute coronary syndrome
adverse drug
artificial intelligence
deep learning