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Work effort, readability and quality of pharmacy transcription of patient directions from electronic prescriptions: a retrospective observational cohort analysis.

Yifan ZhengYun JiangMichael P DorschYuting DingV G Vinod VydiswaranCorey A Lester
Published in: BMJ quality & safety (2020)
Pharmacy staff put significant effort into transcribing e-prescription directions. Manual transcription removed the majority of quality issues; however, pharmacy staff still miss or introduce following their manual transcription processes. The development of tools and techniques such as a comprehensive set of structured direction components or machine learning-based natural language processing techniques may help produce clear directions.
Keyphrases
  • machine learning
  • transcription factor
  • quality improvement
  • case report
  • long term care
  • artificial intelligence
  • health information
  • cross sectional