Login / Signup

Building a tobacco user registry by extracting multiple smoking behaviors from clinical notes.

Ellen L PalmerSaeed HassanpourJohn HigginsJennifer A DohertyTracy Onega
Published in: BMC medical informatics and decision making (2019)
Our work indicates that the development of an EHR-based Smokers' Registry containing information relating to smoking behaviors, not just status, from free-text clinical notes using an informatics pipeline is feasible. This pipeline is capable of functioning in external EHRs, reducing the amount of time and money needed at the institute-level to create a Smokers' Registry for improved identification of patient risk and eligibility for preventative and early detection services.
Keyphrases
  • smoking cessation
  • healthcare
  • electronic health record
  • mental health
  • case report
  • big data
  • machine learning
  • deep learning