Mis-mappings between a producer's quantitative test codes and LOINC codes and an algorithm for correcting them.

Clement J McDonaldSeo Hyon BaikZhaonian ZhengLiz AmosXiaocheng LuanKeith MarsoloLaura Qualls

Published in: Journal of the American Medical Informatics Association : JAMIA (2022)

Overall, the mapping error rate within the PCORnet data was 4.6%. This is nontrivial but less than other published error rates of 20%-40%. Such error rate decreased substantially to 0.1% after the application of automatic detection and correction algorithm.

Keyphrases

deep learning
machine learning
high resolution
neural network
electronic health record
loop mediated isothermal amplification
high density
label free
randomized controlled trial
mass spectrometry
real time pcr
data analysis