Proceedings of the International Conference on Modern Educational Technology and Innovation and Entrepreneurship (ICMETIE 2020)

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A Review of the Researches on Doctor–Patient Conversation

Authors
Mengzhen Liu
Corresponding Author
Mengzhen Liu
Available Online 12 March 2020.
DOI
10.2991/assehr.k.200306.124How to use a DOI?
Keywords
conversational analysis, doctor–patient conversation, discourse
Abstract

This paper mainly reviews the development of discourse analysis in the history of linguistics, and explains the problems and characteristics of mainstream papers and issues in doctor-patient conversation from the perspective of doctor-patient relationship. On the basis of time, from the starting of discourse analysis, combing the development of doctor-patient dialogue in China with domestic and foreign papers, this paper puts forward the characteristics and shortcomings of theirs theoretical analysis.

Copyright
© 2020, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the International Conference on Modern Educational Technology and Innovation and Entrepreneurship (ICMETIE 2020)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
12 March 2020
ISBN
978-94-6252-924-3
ISSN
2352-5398
DOI
10.2991/assehr.k.200306.124How to use a DOI?
Copyright
© 2020, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

risenwbib
TY  - CONF
AU  - Mengzhen Liu
PY  - 2020
DA  - 2020/03/12
TI  - A Review of the Researches on Doctor–Patient Conversation
BT  - Proceedings of the International Conference on Modern Educational Technology and Innovation and Entrepreneurship (ICMETIE 2020)
PB  - Atlantis Press
SP  - 289
EP  - 292
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.200306.124
DO  - 10.2991/assehr.k.200306.124
ID  - Liu2020
ER  -