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Consistency as a Data Quality Measure for German Corona Consensus Items Mapped from National Pandemic Cohort Network Data Collections.

Khalid O YusufOlga MiljukovAnne SchonebergSabine HanßMartin WiesenfeldtMelanie StecherLazar MitrovSina Marie HopffSarah SteinbrecherFlorian KurthThomas BahmerStefan SchreiberDaniel PapeAnna-Lena HofmannMirjam KohlsStefan StörkHans Christian StubbeJohannes J TebbeJohannes C HellmuthJohanna ErberLilian KristSiegbert RiegLisa PilgramJörg J VehreschildJens-Peter ReeseDagmar Krefting
Published in: Methods of information in medicine (2023)
 An efficient and portable tool capable of discovering inconsistencies in the COVID-19 domain has been developed and applied to three different cohorts. As the GECCO dataset is employed in different platforms and studies, the tool can be directly applied there or adapted to similar information models.
Keyphrases
  • coronavirus disease
  • sars cov
  • electronic health record
  • big data
  • quality improvement
  • healthcare
  • machine learning
  • respiratory syndrome coronavirus
  • health information
  • artificial intelligence
  • deep learning