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Development and Application of an Active Pharmacovigilance Framework Based on Electronic Healthcare Records from Multiple Centers in Korea.

Seon ChoeSuhyun LeeChan Hee ParkJeong Hoon LeeHyo Jung KimSun-Ju ByeonJeong-Hee ChoiHyeon-Jong YangDa Woon SimBum-Joo ChoHoseok KooMin-Gyu KangJi Bong JeongIn Young ChoiSae-Hoon KimWoo Jin KimJae-Woo JungSang-Hoon LheeYoung-Jin KoHye-Kyung ParkDong Yoon KangJu Han Kim
Published in: Drug safety (2023)
These results are similar to those from previous studies and are conducive for new research, thereby demonstrating the feasibility of K-CDM for pharmacovigilance. However, the low quality of original EMR data, incomplete mapping, and heterogeneity between institutions reduced the validity of the analysis, thus necessitating continuous calibration among researchers, clinicians, and the government.
Keyphrases
  • healthcare
  • adverse drug
  • electronic health record
  • drug induced
  • high resolution
  • palliative care
  • single cell
  • emergency department
  • quality improvement
  • deep learning
  • artificial intelligence
  • mass spectrometry