@article{IR,
      school = {M.D.},
      author = {King, Katherine},
      url = {http://digitalcollections.ohsu.edu/record/10089},
      title = {Toward and automated method for assessing jargon in  medical encounters},
      publisher = {Oregon Health and Science University},
      abstract = {Assessment of health professionals' jargon use in spoken  communication as well as the efficacy of interventions to  reduce jargon use by health professionals in clinical  encounters is limited by current jargon identification  methods which are subjective, labor-intensive, and  expensive. The goal of this study is to validate a  relatively fast, inexpensive, low-tech, automated, and  widely available method to identify medical jargon in  clinical encounters. We hypothesized that video-recorded  clinical encounters can be converted into written  transcripts using free software from YouTube.com and  analyzed for medical jargon using Health Literacy Advisor  Online (HLA) proprietary software. We found that automated  transcription and HLA software can be used to provide rough  estimations of frequency of jargon use, but further work is  needed to find a methodology for automated jargon detection  with improved sensitivity.},
      number = {IR},
      doi = {https://doi.org/10.6083/p8418p123},
      recid = {10089},
      address = {2023},
}