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Identifying relevant information in medical conversations to summarize a clinician-patient encounter.
- Source :
-
Health Informatics Journal . Dec2020, Vol. 26 Issue 4, p2906-2914. 9p. - Publication Year :
- 2020
-
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]
Details
- Language :
- English
- ISSN :
- 14604582
- Volume :
- 26
- Issue :
- 4
- Database :
- Academic Search Index
- Journal :
- Health Informatics Journal
- Publication Type :
- Academic Journal
- Accession number :
- 147644444
- Full Text :
- https://doi.org/10.1177/1460458220951719