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Establishment of the MID-NET® medical information database network as a reliable and valuable database for drug safety assessments in Japan.

Mitsune YamaguchiSatomi InomataSayoko HaradaYu MatsuzakiMaiko KawaguchiMayuko UjibeMari KishibaYoshiaki FujimuraMichio KimuraKoichiro MurataNaoki NakashimaMasaharu NakayamaKazuhiko OheTakao OriiEizaburo SueokaTakahiro SuzukiHideto YokoiFumitaka TakahashiYoshiaki Uyama
Published in: Pharmacoepidemiology and drug safety (2019)
MID-NET® is expected to be a major data source for drug safety assessments in Japan. Experiences and best practices established in MID-NET® may provide a model for the future development of similar database networks.
Keyphrases
  • adverse drug
  • healthcare
  • electronic health record
  • primary care
  • mental health
  • emergency department
  • machine learning
  • deep learning
  • artificial intelligence