@inproceedings{finley-etal-2018-automated,
title = "An automated medical scribe for documenting clinical encounters",
author = "Finley, Gregory and
Edwards, Erik and
Robinson, Amanda and
Brenndoerfer, Michael and
Sadoughi, Najmeh and
Fone, James and
Axtmann, Nico and
Miller, Mark and
Suendermann-Oeft, David",
editor = "Liu, Yang and
Paek, Tim and
Patwardhan, Manasi",
booktitle = "Proceedings of the 2018 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Demonstrations",
month = jun,
year = "2018",
address = "New Orleans, Louisiana",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/N18-5003",
doi = "10.18653/v1/N18-5003",
pages = "11--15",
abstract = "A medical scribe is a clinical professional who charts patient{--}physician encounters in real time, relieving physicians of most of their administrative burden and substantially increasing productivity and job satisfaction. We present a complete implementation of an automated medical scribe. Our system can serve either as a scalable, standardized, and economical alternative to human scribes; or as an assistive tool for them, providing a first draft of a report along with a convenient means to modify it. This solution is, to our knowledge, the first automated scribe ever presented and relies upon multiple speech and language technologies, including speaker diarization, medical speech recognition, knowledge extraction, and natural language generation.",
}
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<abstract>A medical scribe is a clinical professional who charts patient–physician encounters in real time, relieving physicians of most of their administrative burden and substantially increasing productivity and job satisfaction. We present a complete implementation of an automated medical scribe. Our system can serve either as a scalable, standardized, and economical alternative to human scribes; or as an assistive tool for them, providing a first draft of a report along with a convenient means to modify it. This solution is, to our knowledge, the first automated scribe ever presented and relies upon multiple speech and language technologies, including speaker diarization, medical speech recognition, knowledge extraction, and natural language generation.</abstract>
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%0 Conference Proceedings
%T An automated medical scribe for documenting clinical encounters
%A Finley, Gregory
%A Edwards, Erik
%A Robinson, Amanda
%A Brenndoerfer, Michael
%A Sadoughi, Najmeh
%A Fone, James
%A Axtmann, Nico
%A Miller, Mark
%A Suendermann-Oeft, David
%Y Liu, Yang
%Y Paek, Tim
%Y Patwardhan, Manasi
%S Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Demonstrations
%D 2018
%8 June
%I Association for Computational Linguistics
%C New Orleans, Louisiana
%F finley-etal-2018-automated
%X A medical scribe is a clinical professional who charts patient–physician encounters in real time, relieving physicians of most of their administrative burden and substantially increasing productivity and job satisfaction. We present a complete implementation of an automated medical scribe. Our system can serve either as a scalable, standardized, and economical alternative to human scribes; or as an assistive tool for them, providing a first draft of a report along with a convenient means to modify it. This solution is, to our knowledge, the first automated scribe ever presented and relies upon multiple speech and language technologies, including speaker diarization, medical speech recognition, knowledge extraction, and natural language generation.
%R 10.18653/v1/N18-5003
%U https://aclanthology.org/N18-5003
%U https://doi.org/10.18653/v1/N18-5003
%P 11-15
Markdown (Informal)
[An automated medical scribe for documenting clinical encounters](https://aclanthology.org/N18-5003) (Finley et al., NAACL 2018)
ACL
- Gregory Finley, Erik Edwards, Amanda Robinson, Michael Brenndoerfer, Najmeh Sadoughi, James Fone, Nico Axtmann, Mark Miller, and David Suendermann-Oeft. 2018. An automated medical scribe for documenting clinical encounters. In Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Demonstrations, pages 11–15, New Orleans, Louisiana. Association for Computational Linguistics.