Identifying relevant information in medical conversations to summarize a clinician-patient encounter

Health Informatics J. 2020 Dec;26(4):2906-2914. doi: 10.1177/1460458220951719. Epub 2020 Aug 29.

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.

Keywords: Automatic summarization; GP consultation; Pareto principle; clinical conversations; digital scribe; natural language processing.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Communication*
  • Family Practice
  • General Practice*
  • Humans
  • Physician-Patient Relations
  • Referral and Consultation