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Analyzing vast textual data and summarizing key information from electronic health records imposes a substantial burden on how clinicians allocate their time.
“Language models are few-shot learners”
Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry and Amanda Askell · 1901
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“PhysioBank, PhysioToolkit, and PhysioNet: Components of a New Research Resource for Complex Physiologic Signals” Circulation Electronic Pages: http://circ.ahajournals.org/content/101/23/e215.full PMID:1085218; doi: 10.1161/01.CIR.101.23.e215
A.. Goldberger, L… Amaral, L. Glass, J.. Hausdorff, P.. Ivanov, R.. Mark, J.. Mietus, G.. Moody, C.-K. Peng and H.. Stanley · 2000
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“Bleu: a method for automatic evaluation of machine translation”
Kishore Papineni, Salim Roukos, Todd Ward and Wei-Jing Zhu · 2002
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“Rouge: A package for automatic evaluation of summaries”
Chin-Yew Lin · 2004
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“Toward best practices in radiology reporting”
Charles Kahn, Curtis Langlotz, Elizabeth Burnside, John Carrino, David Channin, David Hovsepian and Daniel Rubin · 2009
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“Unintended errors with EHR-based result management: a case series”
Thomas Yackel and Peter Embi · 2010
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“Point of care documentation impact on the nurse-patient interaction”
William Duffy, Morris Kharasch and Hongyan Du · 2010
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“Simple and efficient algorithm for approximate dictionary matching”
Naoaki Okazaki and Jun’ichi Tsujii · 2010
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“Critical finding capture in the impression section of radiology reports”
Esteban Gershanik, Ronilda Lacson and Ramin Khorasani · 2011
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“Impact of electronic health record systems on information integrity: quality and safety implications”
Sue Bowman · 2013
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“Burnout in relation to specific contributing factors and health outcomes among nurses: a systematic review”
Natasha Khamisa, Karl Peltzer and Brian Oldenburg · 2013
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“The painful truth: The documentation burden of a trauma surgeon”
Joseph Golob, John Como and Jeffrey Claridge · 2016
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“Allocation of physician time in ambulatory practice: a time and motion study in 4 specialties”
Christine Sinsky, Lacey Colligan, Ling Li, Mirela Prgomet, Sam Reynolds, Lindsey Goeders, Johanna Westbrook, Michael Tutty and George Blike · 2016
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“Nurses’ experiences of an initial and reimplemented electronic health record use”
Chi-Ping Chang, Ting-Ting Lee, Chia-Hui Liu and Mary Mills · 2016
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“Relationship between clerical burden and characteristics of the electronic environment with physician burnout and professional satisfaction”
Tait Shanafelt, Lotte Dyrbye, Christine Sinsky, Omar Hasan, Daniel Satele, Jeff Sloan and Colin West · 2016
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“Preparing a collection of radiology examinations for distribution and retrieval”
Dina Demner-Fushman, Marc Kohli, Marc Rosenman, Sonya Shooshan, Laritza Rodriguez, Sameer Antani, George Thoma and Clement McDonald · 2016
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“Quickumls: a fast, unsupervised approach for medical concept extraction”
Luca Soldaini and Nazli Goharian · 2016
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“A guideline of selecting and reporting intraclass correlation coefficients for reliability research”
Terry Koo and Mae Li · 2016
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“Exploring the limits of language modeling”
Rafal Jozefowicz, Oriol Vinyals, Mike Schuster, Noam Shazeer and Yonghui Wu · 2016
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“Tethered to the EHR: primary care physician workload assessment using EHR event log data and time-motion observations”
Brian Arndt, John Beasley, Michelle Watkinson, Jonathan Temte, Wen-Jan Tuan, Christine Sinsky and Valerie Gilchrist · 2017
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“Attention is all you need”
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan Gomez, Łukasz Kaiser and Illia Polosukhin · 2017
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“Decoupled weight decay regularization”
Ilya Loshchilov and Frank Hutter · 2017
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“Measuring harm in healthcare: optimizing adverse event review”
Kathleen Walsh, Polina Harik, Kathleen Mazor, Deborah Perfetto, Milena Anatchkova, Colleen Biggins, Joann Wagner, Pamela Schoettker, Cassandra Firneno and Robert Klugman · 2017
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“A usability and safety analysis of electronic health records: a multi-center study”
Raj Ratwani, Erica Savage, Amy Will, Ryan Arnold, Saif Khairat, Kristen Miller, Rollin Fairbanks, Michael Hodgkins and A Hettinger · 2018
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“Technology as friend or foe? Do electronic health records increase burnout?”
Jesse Ehrenfeld and Jonathan Wanderer · 2018
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“Novel electronic health record (EHR) education intervention in large healthcare organization improves quality, efficiency, time, and impact on burnout”
Kenneth Robinson and Joyce Kersey · 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 · 2018
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“The best of both worlds: Combining recent advances in neural machine translation”
Mia Chen, Orhan Firat, Ankur Bapna, Melvin Johnson, Wolfgang Macherey, George Foster, Llion Jones, Niki Parmar, Mike Schuster and Zhifeng Chen · 2018
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“Pingouin: statistics in Python.”
Raphael Vallat · 2018
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“The burden and burnout in documenting patient care: an integrative literature review”
Emily Gesner, Priscilla Gazarian and Patricia Dykes · 2019
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“Language models are unsupervised multitask learners”
Alec Radford, Jeffrey Wu, Rewon Child, David Luan, Dario Amodei and Ilya Sutskever · 2019
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“MIMIC-CXR, a de-identified publicly available database of chest radiographs with free-text reports”
Alistair Johnson · 2019
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“On the Summarization of Consumer Health Questions”
Asma Ben Abacha and Dina Demner-Fushman · 2019
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“Design considerations for high impact, automated echocardiogram analysis”
Wiebke Toussaint, Dave Van, Courtney Irwin, Yoni Nachmany, Manuel Barreiro-Perez, Elena Díaz-Peláez, Sara de Sousa, Liliana Millán, Pedro Sánchez and Antonio Sánchez-Puente · 2020
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“Exploring the limits of transfer learning with a unified text-to-text transformer”
Colin Raffel, Noam Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li and Peter Liu · 2020
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“Mimic-iv”
Alistair Johnson, Lucas Bulgarelli, Tom Pollard, Steven Horng, Leo Celi and Roger Mark · 2020
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“Transformers: State-of-the-art natural language processing”
Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumond, Clement Delangue, Anthony Moi, Pierric Cistac, Tim Rault, Rémi Louf and Morgan Funtowicz · 2020
Cited alongside, same era.
“BERTScore: Evaluating Text Generation with BERT”
Tianyi Zhang*, Varsha Kishore*, Felix Wu*, Kilian. Weinberger and Yoav Artzi · 2020
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“GPT-4 Technical Report”, 2023
OpenAI · 2023
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“Llama 2: Open foundation and fine-tuned chat models”
Hugo Touvron, Louis Martin, Kevin Stone, Peter Albert, Amjad Almahairi, Yasmine Babaei, Nikolay Bashlykov, Soumya Batra, Prajjwal Bhargava and Shruti Bhosale · 2023
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“Radiology-Llama2: Best-in-Class Large Language Model for Radiology”
Zhengliang Liu, Yiwei Li, Peng Shu, Aoxiao Zhong, Longtao Yang, Chao Ju, Zihao Wu, Chong Ma, Jie Luo and Cheng Chen · 2023
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“Leveraging Large Language Models for Generating Responses to Patient Messages”
Siru Liu, Allison McCoy, Aileen Wright, Babatunde Carew, Julian Genkins, Sean Huang, Josh Peterson, Bryan Steitz and Adam Wright · 2023
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“Finetuned language models are zero-shot learners”
Jason Wei, Maarten Bosma, Vincent Zhao, Kelvin Guu, Adams Yu, Brian Lester, Nan Du, Andrew Dai and Quoc Le · 2021
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“Prefix-tuning: Optimizing continuous prompts for generation”
Xiang Li and Percy Liang · 2021
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“LoRA: Low-Rank Adaptation of Large Language Models”, 2021
Edward Hu, Yelong Shen, Phil Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Lu Wang and Weizhu Chen · 2021
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“Neural abstractive text summarization with sequence-to-sequence models”
Tian Shi, Yaser Keneshloo, Naren Ramakrishnan and Chandan Reddy · 2021
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“Holistic evaluation of language models”
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Cited alongside, same era.
“Large Language Models Encode Clinical Knowledge”
Karan Singhal, Shekoofeh Azizi, Tao Tu, S Mahdavi, Jason Wei, Hyung Chung, Nathan Scales, Ajay Tanwani, Heather Cole-Lewis and Stephen Pfohl · 2022
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“Palm: Scaling language modeling with pathways”
Aakanksha Chowdhery, Sharan Narang, Jacob Devlin, Maarten Bosma, Gaurav Mishra, Adam Roberts, Paul Barham, Hyung Chung, Charles Sutton and Sebastian Gehrmann · 2022
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Yanjun Gao, Dmitriy Dligach, Timothy Miller, Matthew Churpek and Majid Afshar · 2023
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“Overview of the MEDIQA-Chat 2023 Shared Tasks on the Summarization & Generation of Doctor-Patient Conversations”
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“Radiology Report Expert Evaluation (ReXVal) Dataset”, 2023
Feiyang Yu, Mark Endo, Rayan Krishnan, Ian Pan, Andy Tsai, Eduardo Reis, EKU Fonseca, Henrique Lee, Zahra Shakeri and Andrew Ng · 2023
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“Evaluating large language models on medical evidence summarization”
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“Vicuna: An Open-Source Chatbot Impressing GPT-4 with 90%* ChatGPT Quality”, 2023
Wei-Lin Chiang, Zhuohan Li, Zi Lin, Ying Sheng, Zhanghao Wu, Hao Zhang, Lianmin Zheng, Siyuan Zhuang, Yonghao Zhuang, Joseph. Gonzalez, Ion Stoica and Eric. Xing · 2023
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“The Flan Collection: Designing Data and Methods for Effective Instruction Tuning”, 2023
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“Do We Still Need Clinical Language Models?”
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“Stanford Alpaca: An Instruction-following LLaMA model”
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“MedAlpaca–An Open-Source Collection of Medical Conversational AI Models and Training Data”
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“Benchmarking large language models’ performances for myopia care: a comparative analysis of ChatGPT-3.5, ChatGPT-4.0, and Google Bard”
Zhi Lim, Krithi Pushpanathan, Samantha Yew, Yien Lai, Chen-Hsin Sun, Janice Lam, David Chen, Jocelyn Goh, Marcus Tan and Bin Sheng · 2023
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“Evaluation of the performance of GPT-3.5 and GPT-4 on the Medical Final Examination”
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“Comparing ChatGPT and GPT-4 performance in USMLE soft skill assessments”
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“GPT-3.5: Turbo, Fine-Tuning, and API Updates” Accessed: August 22, 2023, https://openai.com/blog/gpt-3-5-turbo-fine-tuning-and-api-updates , 2023
Andrew Peng, Michael Wu, John Allard, Logan Kilpatrick and Steven Heidel · 2023
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“Toward Expanding the Scope of Radiology Report Summarization to Multiple Anatomies and Modalities”
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