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Characteristics and limitations of national antimicrobial surveillance according to sales and claims data.

Yoshiki KusamaYuichi MurakiChika TanakaRyuji KoizumiMasahiro IshikaneDaisuke YamasakiMasaki TanabeNorio Ohmagari
Published in: PloS one (2021)
The omission of direct sales information and non-electronically submitted claims have influenced S-AMU and C-AMU information, respectively. However, these data were well-correlated, and it is considered that both kinds of data are useful depending on the situation.
Keyphrases
  • electronic health record
  • big data
  • health insurance
  • staphylococcus aureus
  • public health
  • health information
  • healthcare
  • quality improvement
  • data analysis
  • machine learning
  • artificial intelligence