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Development of Antibiotic Classification for Measuring Antibiotic Usage in Korean Hospitals Using a Modified Delphi Method.

Bongyoung KimYoung Kyoung YoonDong Sook KimSu Jin JeongSong Vogue AhnSun Hee ParkKi Tae KwonHong Bin KimYoon Soo ParkShin-Woo KimSungmin KimJun Yong Choinull nullnull nullnull null
Published in: Journal of Korean medical science (2020)
In 2019, a project designed to develop a system for measuring and comparing antibiotic usage in hospitals was launched in Korea. As part of this project, we developed a means to classify antibiotic usage in Korean hospitals using a modified Delphi method. In results, the following categories of antibiotic classification were accepted for use in Korean hospitals: 1) broad-spectrum antibacterial agents predominantly used for hospital-onset infections in adults, 2) broad-spectrum antibacterial agents predominantly used for community-acquired infections in adults, 3) antibacterial agents predominantly used for resistant gram-positive infections in adults, 4) narrow-spectrum beta-lactam agents in adults, 5) antibacterial agents predominantly used for extensive antibiotic resistant gram-negative bacteria in adults, and 6) total antibacterial agents.
Keyphrases
  • healthcare
  • silver nanoparticles
  • machine learning
  • deep learning
  • quality improvement
  • african american
  • gram negative