This paper is in the following e-collection/theme issue:

Personal Health Records, Patient-Accessible Electronic Health Records, Patient Portals (543) Ontologies, Classifications, and Coding (227)

Published on in Vol 19, No 12 (2017): December

Text Simplification Using Consumer Health Vocabulary to Generate Patient-Centered Radiology Reporting: Translation and Evaluation

Text Simplification Using Consumer Health Vocabulary to Generate Patient-Centered Radiology Reporting: Translation and Evaluation

Text Simplification Using Consumer Health Vocabulary to Generate Patient-Centered Radiology Reporting: Translation and Evaluation

Authors of this article:

Basel Qenam1, 2 Author Orcid Image ;   Tae Youn Kim3 Author Orcid Image ;   Mark J Carroll4, 5 Author Orcid Image ;   Michael Hogarth6 Author Orcid Image
Article Authors Cited by (28) Tweetations (8) Metrics

Journals

  1. Adams S, Tang R, Babyn P. Patient Perspectives and Priorities Regarding Artificial Intelligence in Radiology: Opportunities for Patient-Centered Radiology. Journal of the American College of Radiology 2020;17(8):1034 View
  2. Kloehn N, Leroy G, Kauchak D, Gu Y, Colina S, Yuan N, Revere D. Improving Consumer Understanding of Medical Text: Development and Validation of a New SubSimplify Algorithm to Automatically Generate Term Explanations in English and Spanish. Journal of Medical Internet Research 2018;20(8):e10779 View
  3. Hou L, Kang H, Liu Y, Li L, Li J. Mining and standardizing chinese consumer health terms. BMC Medical Informatics and Decision Making 2018;18(S5) View
  4. Hammerer P. Patientenverständliche Arztbriefe und Befunde. Forum 2018;33(2):119 View
  5. Issom D, Henriksen A, Woldaregay A, Rochat J, Lovis C, Hartvigsen G. Factors Influencing Motivation and Engagement in Mobile Health Among Patients With Sickle Cell Disease in Low-Prevalence, High-Income Countries: Qualitative Exploration of Patient Requirements. JMIR Human Factors 2020;7(1):e14599 View
  6. Adams S, Henderson R, Yi X, Babyn P. Artificial Intelligence Solutions for Analysis of X-ray Images. Canadian Association of Radiologists Journal 2021;72(1):60 View
  7. Noble A, Shaham D. Why do Thoracic Radiologists Need to Know About Cultural Competence (and What Is it Anyway)?. Journal of Thoracic Imaging 2020;35(2):73 View
  8. Alarifi M, Patrick T, Jabour A, Wu M, Luo J. Full Radiology Report through Patient Web Portal: A Literature Review. International Journal of Environmental Research and Public Health 2020;17(10):3673 View
  9. Lester C, Ding Y, Li J, Jiang Y, Rowell B, Vydiswaran V. Human versus machine editing of electronic prescription directions. Journal of the American Pharmacists Association 2021;61(4):484 View
  10. Al-Thanyyan S, Azmi A. Automated Text Simplification. ACM Computing Surveys 2022;54(2):1 View
  11. Casey A, Davidson E, Poon M, Dong H, Duma D, Grivas A, Grover C, Suárez-Paniagua V, Tobin R, Whiteley W, Wu H, Alex B. A systematic review of natural language processing applied to radiology reports. BMC Medical Informatics and Decision Making 2021;21(1) View
  12. Jing X. UMLS at 30 years: How it is used and published (Preprint). JMIR Medical Informatics 2020 View
  13. Aldousari E. Bibliometric analysis confirms expected trends in consumer health information publications. Health Information & Libraries Journal 2021 View
  14. Ondov B, Attal K, Demner-Fushman D. A survey of automated methods for biomedical text simplification. Journal of the American Medical Informatics Association 2022;29(11):1976 View
  15. Lau W, Lybarger K, Gunn M, Yetisgen M. Event-Based Clinical Finding Extraction from Radiology Reports with Pre-trained Language Model. Journal of Digital Imaging 2022;36(1):91 View
  16. EKİCİ Ö, ONGAN B. Dudak Damak Yarıkları ile İlgili İnternete Dayalı Bilgi Kalitesinin Değerlendirilmesi. Selcuk Dental Journal 2022;9(2):574 View
  17. Becker C, Kotter E. Communicating with patients in the age of online portals—challenges and opportunities on the horizon for radiologists. Insights into Imaging 2022;13(1) View
  18. Bobba P, Sailer A, Pruneski J, Beck S, Mozayan A, Mozayan S, Arango J, Cohan A, Chheang S. Natural language processing in radiology: Clinical applications and future directions. Clinical Imaging 2023;97:55 View
  19. Tenorio J, de Moraes F, Pisa I. CHV.br: Exploratory study for the development of a consumer health vocabulary (CHV) supported by a network model for Brazilian Portuguese language. Journal of Information Science 2023 View
  20. Jeblick K, Schachtner B, Dexl J, Mittermeier A, Stüber A, Topalis J, Weber T, Wesp P, Sabel B, Ricke J, Ingrisch M. ChatGPT makes medicine easy to swallow: an exploratory case study on simplified radiology reports. European Radiology 2023;34(5):2817 View
  21. August T, Wang L, Bragg J, Hearst M, Head A, Lo K. Paper Plain : Making Medical Research Papers Approachable to Healthcare Consumers with Natural Language Processing. ACM Transactions on Computer-Human Interaction 2023;30(5):1 View
  22. Welivita A, Pu P. A survey of consumer health question answering systems. AI Magazine 2023;44(4):482 View
  23. Guo Y, Qiu W, Leroy G, Wang S, Cohen T. Retrieval augmentation of large language models for lay language generation. Journal of Biomedical Informatics 2024;149:104580 View
  24. Ameworwor E, Amu H, Dowou R, Kye-Duodu G, Amu S, Bain L. Exploring therapeutic communication in managing chronic non-communicable diseases: a mixed-method study in Ghana. Archives of Public Health 2024;82(1) View

Books/Policy Documents

  1. He Z. Social Web and Health Research. View
  2. Dercksen K, de Vries A, van Ginneken B. Advances in Information Retrieval. View