1. Identifying relevant information in medical conversations to summarize a clinician-patient encounter.
- Author
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Quiroz, Juan C, Laranjo, Liliana, Kocaballi, Ahmet Baki, Briatore, Agustina, Berkovsky, Shlomo, Rezazadegan, Dana, and Coiera, Enrico
- Subjects
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COMMUNICATION , *CONFIDENCE intervals , *DOCUMENTATION , *FAMILY medicine , *MEDICAL informatics , *MEDICAL referrals , *NATURAL language processing , *PHYSICIAN-patient relations , *RESEARCH , *RESEARCH funding , *STATISTICS , *MEDICAL coding , *DESCRIPTIVE statistics - Abstract
To inform the development of automated summarization of clinical conversations, this study sought to estimate the proportion of doctor-patient communication in general practice (GP) consultations used for generating a consultation summary. Two researchers with a medical degree read the transcripts of 44 GP consultations and highlighted the phrases to be used for generating a summary of the consultation. For all consultations, less than 20% of all words in the transcripts were needed for inclusion in the summary. On average, 9.1% of all words in the transcripts, 26.6% of all medical terms, and 27.3% of all speaker turns were highlighted. The results indicate that communication content used for generating a consultation summary makes up a small portion of GP consultations, and automated summarization solutions—such as digital scribes—must focus on identifying the 20% relevant information for automatically generating consultation summaries. [ABSTRACT FROM AUTHOR]
- Published
- 2020
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