000010089 001__ 10089
000010089 005__ 20240125143605.0
000010089 0247_ $$2DOI$$a10.6083/p8418p123
000010089 037__ $$aIR
000010089 245__ $$aToward and automated method for assessing jargon in medical encounters
000010089 260__ $$bOregon Health and Science University
000010089 269__ $$a2023
000010089 336__ $$aCapstone
000010089 502__ $$gMedicine (Undergraduate Medical Education)
000010089 502__ $$bM.D.
000010089 520__ $$aAssessment 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.
000010089 540__ $$fCC BY
000010089 650__ $$aAutomation$$015240
000010089 650__ $$aHealth Literacy$$038909
000010089 650__ $$aEducation, Medical$$018223
000010089 6531_ $$amedical jargon
000010089 691__ $$aSchool of Medicine$$041369
000010089 7001_ $$aKing, Katherine$$uOregon Health and Science University$$041354
000010089 7201_ $$aColeman, Clifford$$uOregon Health and Science University$$041354$$7Personal$$eMentor
000010089 8564_ $$977cb277f-0d4b-443e-9e7f-7779c7ef132a$$s439234$$uhttps://digitalcollections.ohsu.edu/record/10089/files/King.Katherine.2023.pdf
000010089 905__ $$a/rest/prod/p8/41/8p/12/p8418p123
000010089 909CO $$ooai:digitalcollections.ohsu.edu:10089$$pstudent-work
000010089 980__ $$aScholarly Project Capstones