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Recent advances in Automatic Speech Recognition (ASR) have made it possible to reliably produce automatic transcripts of clinician-patient conversations.
Leveraging bert for extractive text summarization on lectures
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SWITCHBOARD: telephone speech corpus for research and development
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The Fisher corpus: A resource for the next generations of speech-to-text
Christopher Cieri, David Miller, and Kevin Walker. 2004 · 2004
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MedDialog: Two Large-scale Medical Dialogue Datasets
Xuehai He, Shu Chen, Zeqian Ju, Xiangyu Dong, Hongchao Fang, Sicheng Wang, Yue Yang, Jiaqi Zeng, Ruisi Zhang, Ruoyu Zhang, Meng Zhou, Penghui Zhu, and Pengtao Xie. 2020 · 2004
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Rouge: A package for automatic evaluation of summaries
Chin-Yew Lin. 2004 · 2004
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Snomed-ct: The advanced terminology and coding system for ehealth
Kevin Donnelly et al. 2006 · 2006
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The kaldi speech recognition toolkit
Daniel Povey, Arnab Ghoshal, Gilles Boulianne, Lukas Burget, Ondrej Glembek, Nagendra Goel, Mirko Hannemann, Petr Motlicek, Yanmin Qian, Petr Schwarz, et al. 2011 · 2011
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A systematic review of speech recognition technology in health care
Maree Johnson, Samuel Lapkin, Vanessa Long, Paula Sanchez, Hanna Suominen, Jim Basilakis, and Linda Dawson. 2014 · 2014
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Risks and benefits of speech recognition for clinical documentation: a systematic review
Tobias Hodgson and Enrico Coiera. 2016 · 2016
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Abstractive text summarization using sequence-to-sequence rnns and beyond
Ramesh Nallapati, Bowen Zhou, Cicero dos Santos, Çağlar Gulçehre, and Bing Xiang. 2016 · 2016
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The essential soap note in an ehr age
Patricia F Pearce, Laurie Anne Ferguson, Gwen S George, and Cynthia A Langford. 2016 · 2016
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin. 2017 · 2017
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Speech recognition for medical conversations
Chung-Cheng Chiu, Anshuman Tripathi, Kat Chou, Chris Co, Navdeep Jaitly, Diana Jaunzeikare, Anjuli Kannan, Patrick Nguyen, Hasim Sak, Ananth Sankar, Justin Jesada Tansuwan, Nathan Wan, Yonghui Wu, and Frank Zhang. 2018 · 2018
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An automated medical scribe for documenting clinical encounters
Gregory Finley, Erik Edwards, Amanda Robinson, Michael Brenndoerfer, Najmeh Sadoughi, James Fone, Nico Axtmann, Mark Miller, and David Suendermann-Oeft. 2018 · 2018
Cited alongside, same era.
A systematic comparison of contemporary automatic speech recognition engines for conversational clinical speech
Jodi Kodish-Wachs, Emin Agassi, Patrick Kenny, and J. Marc Overhage. 2018 · 2018
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Electronic Health Record Interactions through Voice: A Review
Yaa A. Kumah-Crystal, Claude J. Pirtle, Harrison M. Whyte, Edward S. Goode, Shilo H. Anders, and Christoph U. Lehmann. 2018 · 2018
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Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
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Topic-aware pointer-generator networks for summarizing spoken conversations
Zhengyuan Liu, Angela Ng, Sheldon Lee, Ai Ti Aw, and Nancy F Chen. 2019 · 2019
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BART: Denoising sequence-to-sequence pre-training for natural language generation, translation, and comprehension
Mike Lewis, Yinhan Liu, Naman Goyal, Marjan Ghazvininejad, Abdelrahman Mohamed, Omer Levy, Veselin Stoyanov, and Luke Zettlemoyer. 2020 · 2020
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Towards Understanding ASR Error Correction for Medical Conversations
Anirudh Mani, Shruti Palaskar, and Sandeep Konam. 2020 · 2020
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Medical Dialogue Summarization for Automated Reporting in Healthcare
Sabine Molenaar, Lientje Maas, Verónica Burriel, Fabiano Dalpiaz, and Sjaak Brinkkemper. 2020 · 2020
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Identifying relevant information in medical conversations to summarize a clinician-patient encounter
Juan C Quiroz, Liliana Laranjo, Ahmet Baki Kocaballi, Agustina Briatore, Shlomo Berkovsky, Dana Rezazadegan, and Enrico Coiera. 2020 · 2020
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Optimizing the factual correctness of a summary: A study of summarizing radiology reports
Yuhao Zhang, Derek Merck, Emily Tsai, Christopher D Manning, and Curtis Langlotz. 2020 · 2020
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Ontology-aware clinical abstractive summarization
Sean MacAvaney, Sajad Sotudeh, Arman Cohan, Nazli Goharian, Ish Talati, and Ross W Filice. 2019 · 2019
Cited alongside, same era.
Bertscore: Evaluating text generation with bert
Tianyi Zhang, Varsha Kishore, Felix Wu, Kilian Q Weinberger, and Yoav Artzi. 2019 · 2019
Cited alongside, same era.
Conformer: Convolution-augmented transformer for speech recognition
Anmol Gulati, James Qin, Chung-Cheng Chiu, Niki Parmar, Yu Zhang, Jiahui Yu, Wei Han, Shibo Wang, Zhengdong Zhang, Yonghui Wu, and Ruoming Pang. 2020 · 2020
Cited alongside, same era.
Dr. summarize: Global summarization of medical dialogue by exploiting local structures
Anirudh Joshi, Namit Katariya, Xavier Amatriain, and Anitha Kannan. 2020 · 2020
Cited alongside, same era.
Coviddialog: Medical dialogue datasets about covid-19
Zeqian Ju, Subrato Chakravorty, Xuehai He, Shu Chen, Xingyi Yang, and Pengtao Xie. 2020 · 2020
Cited alongside, same era.
Dataset for automated medical transcription
Nazmul Kazi, Matt Kuntz, Upulee Kanewala, and Indika Kahanda. 2020 · 2020
Cited alongside, same era.
End-to-End Speech Recognition on Conversations
Suyoun Kim. 2020 · 2020
Cited alongside, same era.
Later among the works it cites.
Medically aware gpt-3 as a data generator for medical dialogue summarization
Bharath Chintagunta, Namit Katariya, Xavier Amatriain, and Anitha Kannan. 2021 · 2021
Later among the works it cites.
Generating SOAP notes from doctor-patient conversations using modular summarization techniques
Kundan Krishna, Sopan Khosla, Jeffrey Bigham, and Zachary C. Lipton. 2021 · 2021
Later among the works it cites.
A preliminary study on evaluating consultation notes with post-editing
Francesco Moramarco, Alex Papadopoulos Korfiatis, Aleksandar Savkov, and Ehud Reiter. 2021 · 2021
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Medication Regimen Extraction from Medical Conversations
Sai P. Selvaraj and Sandeep Konam. 2021 · 2021
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Understanding Medical Conversations: Rich Transcription, Confidence Scores & Information Extraction
Hagen Soltau, Mingqiu Wang, Izhak Shafran, and Laurent El Shafey. 2021 · 2021
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Towards automating medical scribing: Clinic visit dialogue2note sentence alignment and snippet summarization
Wen-wai Yim and Meliha Yetisgen-Yildiz. 2021 · 2021
Later among the works it cites.
Leveraging pretrained models for automatic summarization of doctor-patient conversations
Longxiang Zhang, Renato Negrinho, Arindam Ghosh, Vasudevan Jagannathan, Hamid Reza Hassanzadeh, Thomas Schaaf, and Matthew R Gormley. 2021 · 2021
Later among the works it cites.
(in press): Human evaluation and correlation with automatic metrics in consultation note generation
Francesco Moramarco, Alex Papadopoulos Korfiatis, Mark Perera, Damir Juric, Jack Flann, Ehud Reiter, Anya Belz, and Aleksandar Savkov. 2022 · 2022
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