Consistency as a Data Quality Measure for German Corona Consensus items mapped from National Pandemic Cohort Network data collections.

Khalid Olusola YusufOlga MiljukovSabine HanßAnne SchonebergMartin WiesenfeldtMelanie StecherLisa PilgramLazar MitrovSarah SteinbrecherFlorian KurthThomas BahmerStefan SchreiberDaniel PapeAnna-Lena HofmannSina Marie HopffMirjam KohlsStefan StörkLilian KristHans Christian StubbeSiegbert RiegJohannes-Josef TebbeJohannes Christian HellmuthJohanna ErberJanne J VehreschildJens-Peter ReeseDagmar Krefting

Published in: Methods of information in medicine (2023)

Our consistency assessment tool helped in correcting the mapping procedure and reveals remaining contradictory value combinations within COVID-19 symptoms, vital-signs, and COVID-19 severity. Consistency rates differ between the different indicators and cohorts ranging from 95.84% up to 100%.

Keyphrases

coronavirus disease
sars cov
electronic health record
big data
quality improvement
respiratory syndrome coronavirus
high resolution
clinical practice
machine learning
data analysis
artificial intelligence
high density
mass spectrometry