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Large language models (LLMs) have immense potential to make information more accessible, particularly in medicine, where complex medical jargon can hinder patient comprehension of clinical notes.
A new readability yardstick
F. R · 1948
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Derivation of new readability formulas (automated readability index, fog count and flesch reading ease formula) for navy enlisted personnel
J. P. Kincaid, R. P. Fishburne Jr, R. L. Rogers, and B. S. Chissom · 1975
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Where’s the beef? the promise and the reality of clinical documentation
S. J. Davidson, F. L. Zwemer Jr, L. A. Nathanson, K. N. Sable, and A. N. Khan · 2004
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Using thematic analysis in psychology
V. Braun and V. Clarke · 2006
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Validation of screening questions for limited health literacy in a large va outpatient population
L. D. Chew, J. M. Griffin, M. R. Partin, S. Noorbaloochi, J. P. Grill, A. Snyder, K. A. Bradley, S. M. Nugent, A. D. Baines, and M. Vanryn · 2008
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Confidence intervals from normalized data: A correction to cousineau (2005)
R. D. Morey et al · 2008
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Beyond readability: investigating coherence of clinical text for consumers
C. A. Smith, S. Hetzel, P. Dalrymple, and A. Keselman · 2011
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New prescriptions: how well do patients remember important information?
D. M. Tarn and S. A. Flocke · 2011
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Measurement of cancer health literacy and identification of patients with limited cancer health literacy
L. Dumenci, R. Matsuyama, D. L. Riddle, L. A. Cartwright, R. A. Perera, H. Chung, and L. A. Siminoff · 2014
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Engaging patients through open notes: an evaluation using mixed methods
T. Esch, R. Mejilla, M. Anselmo, B. Podtschaske, T. Delbanco, and J. Walker · 2016
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Your patient is now reading your note: opportunities, problems, and prospects
J. W. Klein, S. L. Jackson, S. K. Bell, M. K. Anselmo, J. Walker, T. Delbanco, and J. G. Elmore · 2016
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Communication during radiation therapy education sessions: The role of medical jargon and emotional support in clarifying patient confusion
L. Schnitzler, S. K. Smith, H. L. Shepherd, J. Shaw, S. Dong, D. M. Carpenter, F. Nguyen, and H. M. Dhillon · 2017
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Readability formulas and user perceptions of electronic health records difficulty: a corpus study
J. Zheng and H. Yu · 2017
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The importance of visit notes on patient portals for engaging less educated or nonwhite patients: survey study
M. Gerard, H. Chimowitz, A. Fossa, F. Bourgeois, L. Fernandez, and S. K. Bell · 2018
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Open oncology notes: A qualitative study of oncology patients’ experiences reading their cancer care notes
N. Kayastha, K. I. Pollak, and T. W. LeBlanc · 2018
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Prevalence of Burnout Among Physicians: A Systematic Review
L. S. Rotenstein, M. Torre, M. A. Ramos, R. C. Rosales, C. Guille, S. Sen, and D. A. Mata · 2018
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Opennotes in oncology: oncologists’ perceptions and a baseline of the content and style of their clinician notes
J. M. Alpert, B. B. Morris, M. D. Thomson, K. Matin, C. E. Geyer, and R. F. Brown · 2019
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Impact of open access to physician notes on radiation oncology patients: results from an exploratory survey
N. Shaverdian, E. M. Chang, F.-I. Chu, E. G. Morasso, M. A. Pfeffer, E. M. Cheng, A. Wu, S. A. McCloskey, A. C. Raldow, and M. L. Steinberg · 2019
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Impact of open access to physician notes on radiation oncology patients: Results from an exploratory survey
N. Shaverdian, E. M. Chang, F.-I. Chu, E. G. Morasso, M. A. Pfeffer, E. M. Cheng, A. Wu, S. A. McCloskey, A. C. Raldow, and M. L. Steinberg · 2019
Cited alongside, same era.
Opennotes after 7 years: Patient experiences with ongoing access to their clinicians’ outpatient visit notes
J. Walker, S. Leveille, S. Bell, H. Chimowitz, Z. Dong, J. G. Elmore, L. Fernandez, A. Fossa, M. Gerard, P. Fitzgerald, K. Harcourt, S. Jackson, T. H. Payne, J. Perez, H. Shucard, R. Stametz, C. DesRoches, and T. Delbanco · 2019
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Frequency and types of patient-reported errors in electronic health record ambulatory care notes
S. K. Bell, T. Delbanco, J. G. Elmore, P. S. Fitzgerald, A. Fossa, K. Harcourt, S. G. Leveille, T. H. Payne, R. A. Stametz, J. Walker, et al · 2020
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A survey of automated methods for biomedical text simplification
B. Ondov, K. Attal, and D. Demner-Fushman · 2022
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Ai chains: Transparent and controllable human-ai interaction by chaining large language model prompts
T. Wu, M. Terry, and C. J. Cai · 2022
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Comparing Physician and Artificial Intelligence Chatbot Responses to Patient Questions Posted to a Public Social Media Forum
J. W. Ayers, A. Poliak, M. Dredze, E. C. Leas, Z. Zhu, J. B. Kelley, D. J. Faix, A. M. Goodman, C. A. Longhurst, M. Hogarth, and D. M. Smith · 2023
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Paniniqa: Enhancing patient education through interactive question answering
P. Cai, Z. Yao, F. Liu, D. Wang, M. Reilly, H. Zhou, L. Li, Y. Cao, A. Kapoor, A. Bajracharya, et al · 2023
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Presentation matters for ai-generated clinical advice
M. Ghassemi · 2023
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alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
C. M. D. Charlotte Blease, Liz Salmi · 2020
Cited alongside, same era.
The Views and Experiences of Clinicians Sharing Medical Record Notes With Patients
C. M. DesRoches, S. Leveille, S. K. Bell, Z. J. Dong, J. G. Elmore, L. Fernandez, K. Harcourt, P. Fitzgerald, T. H. Payne, R. Stametz, T. Delbanco, and J. Walker · 2020
Cited alongside, same era.
Patients evaluate visit notes written by their clinicians: a mixed methods investigation
S. G. Leveille, P. Fitzgerald, K. Harcourt, Z. Dong, S. Bell, S. O’Neill, C. DesRoches, L. Fernandez, S. L. Jackson, J. W. Klein, et al · 2020
Cited alongside, same era.
Open notes in oncology: patient versus oncology clinician views
L. Salmi, Z. J. Dong, B. Yuh, J. Walker, and C. M. DesRoches · 2020
Cited alongside, same era.
Open notes sounds great, but will a provider’s documentation change? an exploratory study of the effect of open notes on oncology documentation
M. e. a. Rahimian · 2021
Cited alongside, same era.
Write it like you see it: Detectable differences in clinical notes by race lead to differential model recommendations
H. Adam, M. Y. Yang, K. Cato, I. Baldini, C. Senteio, L. A. Celi, J. Zeng, M. Singh, and M. Ghassemi · 2022
Cited alongside, same era.
Generation of Patient After-Visit Summaries to Support Physicians
P. Cai, F. Liu, A. Bajracharya, J. Sills, A. Kapoor, W. Liu, D. Berlowitz, D. Levy, R. Pradhan, and H. Yu · 2022
Cited alongside, same era.
Accuracy in Patient Understanding of Common Medical Phrases
R. Gotlieb, C. Praska, M. A. Hendrickson, J. Marmet, V. Charpentier, E. Hause, K. A. Allen, S. Lunos, and M. B. Pitt · 2022
Cited alongside, same era.
T. Kew, A. Chi, L. Vásquez-Rodríguez, S. Agrawal, D. Aumiller, F. Alva-Manchego, and M. Shardlow · 2023
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A patient-centered approach to writing ambulatory visit notes in the cures act era
B. D. Lam, D. Dupee, M. Gerard, and S. K. Bell · 2023
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Decoding radiology reports: Potential application of openai chatgpt to enhance patient understanding of diagnostic reports
H. Li, J. T. Moon, D. Iyer, P. Balthazar, E. A. Krupinski, Z. L. Bercu, J. M. Newsome, I. Banerjee, J. W. Gichoya, and H. M. Trivedi · 2023
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Leveraging large language models for generating responses to patient messages
S. Liu, A. B. McCoy, A. P. Wright, B. Carew, J. Z. Genkins, S. S. Huang, J. F. Peterson, B. Steitz, and A. Wright · 2023
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Gpt-4 technical report, 2023
OpenAI · 2023
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Towards expert-level medical question answering with large language models
K. Singhal, T. Tu, J. Gottweis, R. Sayres, E. Wulczyn, L. Hou, K. Clark, S. Pfohl, H. Cole-Lewis, D. Neal, et al · 2023
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Multilingual machine translation with large language models: Empirical results and analysis
W. Zhu, H. Liu, Q. Dong, J. Xu, L. Kong, J. Chen, L. Li, and S. Huang · 2023
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Promise and perils of large language models for cancer survivorship and supportive care
D. S. Bitterman, A. Downing, J. Maués, and M. Lustberg · 2024
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Explainable notes: Examining how to unlock meaning in medical notes with interactivity and artificial intelligence
H. Kambhamettu, D. Metaxa, K. Johnson, and A. Head · 2024
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Automated medical text simplification for enhanced patient access
L. Makhmutova, G. D. Salton, F. Pérez-Téllez, and R. J. Ross · 2024
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Simplifying radiologic reports with natural language processing: a novel approach using chatgpt in enhancing patient understanding of mri results
S. Schmidt, A. Zimmerer, T. Cucos, M. Feucht, and L. Navas · 2024
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An in-depth evaluation of gpt-4 in sentence simplification with error-based human assessment
X. Wu and Y. Arase · 2024
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