Fetching the paper…
Reading the bibliography…
Continuity of care is crucial to ensuring positive health outcomes for patients discharged from an inpatient hospital setting, and improved information sharing can help.
Andriy Mulyar, Elliot Schumacher, Masoud Rouhizadeh, and Mark Dredze. 2019 · 1910
Earlier work this paper cites.
Huggingface’s 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, Morgan Funtowicz, Joe Davison, Sam Shleifer, Patrick von Platen, Clara Ma, Yacine Jernite, Julien Plu, Canwen Xu, Teven Le Scao, Sylvain Gugger, Mariama Drame, Quentin Lhoest, and Alexander M. Rush. 2019 · 1910
Earlier work this paper cites.
Deficits in Communication and Information Transfer Between Hospital-Based and Primary Care Physicians Implications for Patient Safety and Continuity of Care
Sunil Kripalani, Frank LeFevre, Christopher O. Phillips, Mark V. Williams, Preetha Basaviah, and David W. Baker. 2007 · 2007
Earlier work this paper cites.
Tying up loose ends: Discharging patients with unresolved medical issues
Carlton Moore, Thomas Mcginn, and Ethan A. Halm. 2007 · 2007
Earlier work this paper cites.
What’s keeping us so busy in primary care? a snapshot from one practice
Richard J. Baron. 2010 · 2010
Earlier work this paper cites.
Extracting medication information from clinical text
Özlem Uzuner, Imre Solti, and Eithon Cadag. 2010 · 2010
Earlier work this paper cites.
2010 i2b2/va challenge on concepts, assertions, and relations in clinical text
Özlem Uzuner, Brett R. South, Shuying Shen, and Scott L. DuVall. 2011 · 2010
Earlier work this paper cites.
Natural language processing to extract follow-up provider information from hospital discharge summaries
Martin C. Were, Sergey Gorbachev, Jason Cadwallader, Joe Kesterson, Xiaochun Li, J. Marc Overhage, and Jeff Friedlin. 2010 · 2010
Earlier work this paper cites.
Evaluating temporal relations in clinical text: 2012 i2b2 challenge
Weiyi Sun, Anna Rumshisky, and Özlem Uzuner. 2013 · 2012
Earlier work this paper cites.
Evaluating the state of the art in coreference resolution for electronic medical records
Özlem Uzuner, Andreea Bodnari, Shuying Shen, Tyler Forbush, John Pestian, and Brett R. South. 2012 · 2012
Earlier work this paper cites.
Effects of time constraints on clinician-computer interaction: A study on information synthesis from ehr clinical notes
Oladimeji Farri, Karen A. Monsen, Serguei V. S. Pakhomov, David S. Pieczkiewicz, Stuart M. Speedie, and Genevieve B. Melton. 2013 · 2013
Earlier work this paper cites.
Information overload and missed test results in electronic health record-based settings
Hardeep Singh, Christiane Spitzmueller, Nancy J. Petersen, Mona K. Sawhney, and Dean F. Sittig. 2013 · 2013
Earlier work this paper cites.
Copy, paste, and cloned notes in electronic health records
Justin M Weis and Paul C Levy. 2014 · 2014
Earlier work this paper cites.
Teaching machines to read and comprehend
KM Hermann, T Kočiskỳ, E Grefenstette, L Espeholt, W Kay, M Suleyman, and P Blunsom. 2015 · 2015
Earlier work this paper cites.
Timeliness of outpatient follow-up: An evidence-based approach for planning after hospital discharge
Carlos T. Jackson, Mohammad Shahsahebi, Tiffany Wedlake, and C Annette Dubard. 2015 · 2015
Earlier work this paper cites.
Mimic-iii, a freely accessible critical care database
Alistair E. W. Johnson, Tom J. Pollard, Lu Shen, Li wei H. Lehman, Mengling Feng, Mohammad M. Ghassemi, Benjamin Moody, Peter Szolovits, Leo Anthony Celi, and Roger G. Mark. 2016 · 2016
Cited alongside, same era.
Abstractive text summarization using sequence-to-sequence rnns and beyond
Ramesh Nallapati, Bowen Zhou, Cicero dos Santos, Caglar Gulcehre, and Bing Xiang. 2016 · 2016
Cited alongside, same era.
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 · 2016
Cited alongside, same era.
Snorkel: Rapid training data creation with weak supervision
Alexander Ratner, Stephen H Bach, Henry Ehrenberg, Jason Fries, Sen Wu, and Christopher Ré. 2017 · 2017
Cited alongside, same era.
A corpus of natural language for visual reasoning
Alane Suhr, Mike Lewis, James Yeh, and Yoav Artzi. 2017 · 2017
Cited alongside, same era.
Key challenges for delivering clinical impact with artificial intelligence
Christopher J. Kelly, Alan Karthikesalingam, Mustafa Suleyman, Greg Corrado, and Dominic King. 2019 · 2019
Later among the works it cites.
A novel system for extractive clinical note summarization using EHR data
Jennifer Liang, Ching-Huei Tsou, and Ananya Poddar. 2019 · 2019
Later among the works it cites.
Text summarization with pretrained encoders
Yang Liu and Mirella Lapata. 2019 · 2019
Later among the works it cites.
Processing discharge summaries in general practice: a qualitative interview study with gps and practice managers
Rachel A Spencer, Sarah Rodgers, Ndeshi Salema, Stephen M Campbell, and Anthony J Avery. 2019 · 2019
Later among the works it cites.
Bert rediscovers the classical nlp pipeline
Ian Tenney, Dipanjan Das, and Ellie Pavlick. 2019 · 2019
Later among the works it cites.
Self-supervised learning for contextualized extractive summarization
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Electronic Health Record Logs Indicate That Physicians Split Time Evenly Between Seeing Patients And Desktop Medicine
M Tai-Seale, CW Olson, Li J, Chan AS, Morikawa C, Durbin M, Wang W, and Luft HS. 2017 · 2017
Cited alongside, same era.
2018 n2c2 shared task on adverse drug events and medication extraction in electronic health records
Sam Henry, Kevin Buchan, Michele Filannino, Amber Stubbs, and Ozlem Uzuner. 2020a · 2018
Cited alongside, same era.
Overview of the biocreative/ohnlp 2018 family history extraction task
Sijia Liu, Majid Rastegar Mojarad, Yanshan Wang, Liwei Wang, Feichen Shen, Sunyang Fu, and Hongfang Liu. 2018a · 2018
Cited alongside, same era.
emrqa: A large corpus for question answering on electronic medical records
Anusri Pampari, Preethi Raghavan, Jennifer Liang, and Jian Peng. 2018 · 2018
Cited alongside, same era.
Publicly available clinical BERT embeddings
Emily Alsentzer, John Murphy, William Boag, Wei-Hung Weng, Di Jindi, Tristan Naumann, and Matthew McDermott. 2019 · 2019
Cited alongside, same era.
Biosentvec: Creating sentence embeddings for biomedical texts
Q. Chen, Y. Peng, and Z. Lu. 2019 · 2019
Cited alongside, same era.
Pretrained language models for sequential sentence classification
Arman Cohan, Iz Beltagy, Daniel King, Bhavana Dalvi, and Daniel S Weld. 2019 · 2019
Cited alongside, same era.
Hong Wang, Xin Wang, Wenhan Xiong, Mo Yu, Xiaoxiao Guo, Shiyu Chang, and William Yang Wang. 2019 · 2019
Later among the works it cites.
Biowordvec, improving biomedical word embeddings with subword information and mesh
Yijia Zhang, Qingyu Chen, Zhihao Yang, Hongfei Lin, and Zhiyong Lu. 2019 · 2019
Later among the works it cites.
Don’t stop pretraining: Adapt language models to domains and tasks
Suchin Gururangan, Ana Marasović, Swabha Swayamdipta, Kyle Lo, Iz Beltagy, Doug Downey, and Noah A Smith. 2020 · 2020
Later among the works it cites.
Wikiasp: A dataset for multi-domain aspect-based summarization
Hiroaki Hayashi, Prashant Budania, Peng Wang, Chris Ackerson, Raj Neervannan, and Graham Neubig. 2020 · 2020
Later among the works it cites.
Deidentification of free-text medical records using pre-trained bidirectional transformers
Alistair EW Johnson, Lucas Bulgarelli, and Tom J Pollard. 2020 · 2020
Later among the works it cites.
Biobert: A pre-trained biomedical language representation model for biomedical text mining
Jinhyuk Lee, Wonjin Yoon, Sungdong Kim, Donghyeon Kim, Sunkyu Kim, Chan Ho So, and Jaewoo Kang. 2020 · 2020
Later among the works it cites.
Matthew McDermott, Tzu Ming Harry Hsu, Wei-Hung Weng, Marzyeh Ghassemi, and Peter Szolovits. 2020 · 2020
Later among the works it cites.
Shijing Si, Rui Wang, Jedrek Wosik, Hao Zhang, David Dov, Guoyin Wang, Ricardo Henao, and Lawrence Carin. 2020 · 2020
Later among the works it cites.
Hurtful words: Quantifying biases in clinical contextual word embeddings
Haoran Zhang, Amy X Lu, Mohamed Abdalla, Matthew McDermott, and Marzyeh Ghassemi. 2020 · 2020
Later among the works it cites.
Clip: A dataset for extracting action items for physicians from hospital discharge notes (version 1.0.0)
James Mullenbach, Yada Pruksachatkun, Sean Adler, Jennifer Seale, Jordan Swartz, T. Greg McKelvey, Yi Yang, and David Sontag. 2021 · 2021
Closest in time.