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

Generative Language Models Including ChatGPT (1457) Personal Health Records, Patient-Accessible Electronic Health Records, Patient Portals (1015) Clinical Information and Decision Making (3611) Natural Language Processing (1251) Ontologies, Classifications, and Coding (424) Chatbots and Conversational Agents (1150) Artificial Intelligence (4634)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/48443, first published .
AI brain with gears and flower, robot hand writing on book, de-identification code-mixed EHRs

Unlocking the Secrets Behind Advanced Artificial Intelligence Language Models in Deidentifying Chinese-English Mixed Clinical Text: Development and Validation Study

Unlocking the Secrets Behind Advanced Artificial Intelligence Language Models in Deidentifying Chinese-English Mixed Clinical Text: Development and Validation Study

Authors of this article:

You-Qian Lee1, 2 Author Orcid Image ;   Ching-Tai Chen3, 4 Author Orcid Image ;   Chien-Chang Chen5 Author Orcid Image ;   Chung-Hong Lee6 Author Orcid Image ;   Peitsz Chen7 Author Orcid Image ;   Chi-Shin Wu8 Author Orcid Image ;   Hong-Jie Dai2, 9, 10, 11 Author Orcid Image
Article Authors Cited by (16) Tweetations (3) Metrics

Journals

  1. Hsu H, Huang K, Pan C, Lau T. Optimizing resource allocation with a hybrid algorithm: Enhancing time series mobility tasks efficiency. Advanced Engineering Informatics 2024;62:102757 View
  2. Yu H, Fan L, Li L, Zhou J, Ma Z, Xian L, Hua W, He S, Jin M, Zhang Y, Gandhi A, Ma X. Large Language Models in Biomedical and Health Informatics: A Review with Bibliometric Analysis. Journal of Healthcare Informatics Research 2024;8(4):658 View
  3. Zaghir J, Naguib M, Bjelogrlic M, Névéol A, Tannier X, Lovis C. Prompt Engineering Paradigms for Medical Applications: Scoping Review. Journal of Medical Internet Research 2024;26:e60501 View
  4. Silva R, Pazin-Filho A. Anonimização de textos médicos com processamento de linguagem natural. Journal of Health Informatics 2025;17:1227 View
  5. Gong S, Chen G, Yang Z. Research on the Design of a Priority-Based Multi-Stage Emergency Material Scheduling System for Drone Coordination. Drones 2025;9(8):524 View
  6. Dai H, Mir T, Chen C, Chen C, Yang H, Lee C, Chou Y, Teng Y, Gupta S, Panchal O, Nadar D, Liao W, Lin Y, Zhao Z, Tsai R, Chang Y, Jonnagaddala J. Leveraging large language models for the deidentification and temporal normalization of sensitive health information in electronic health records. npj Digital Medicine 2025;8(1) View
  7. Lei Y, Chen C, Shen C. Token-splitting improves GPT-4.1 performance on plastic surgery exams: implications for AI-Assisted medical education. Medical Education Online 2025;30(1) View
  8. Faustini P, McIver A, Sullivan R, Dras M. De-identification of clinical data: A systematic review of free text, image and tabular data approaches. International Journal of Medical Informatics 2026;208:106225 View
  9. Dai H, Wu H. Hierarchical Temporal Attention Networks for Cancer Registry Abstraction: Leveraging Longitudinal Clinical Data With Interpretability. IEEE Journal of Biomedical and Health Informatics 2026;30(2):1652 View
  10. Chen J, Luo M, Chen J, Luo G, Li G, Lei C, Chen D, Yu J, Gu K. Construction and evaluation of the knowledge graph and large model question-answering system for Jin San Zhen therapy: a tool study for primary care and general practice. Frontiers in Medicine 2026;13 View
  11. Chen C, Dai H, Su C, Wang S, Chien Y, Huang W, Wu C, Chen H. Two-Stage Extraction of Clinical Course Information from Psychiatric Discharge Summaries Using Fine-Tuned Large Language Models: Cross-Validation Study (Preprint). JMIR Formative Research 2026 View
  12. Sariyar M. Clinical Text De-Identification Beyond PHI Detection: A Scoping Review. J 2026;9(3):22 View
  13. Panchal O, Chang N, Zhao Z, Nadar D, Dai H, Jonnagaddala J. Benchmarking large language models for de-identification of electronic health record notes. BMJ Health & Care Informatics 2026;33(1):e101894 View
  14. Qin S, Zhao N, Shen L, Zhang Y, Ge S. Multimodal natural language processing in ophthalmology: bridging clinical text and medical imaging. Frontiers in Medicine 2026;13 View

Books/Policy Documents

  1. Li Z, Zheng H, Mao K, Wei Z. Large Language Models for Automatic Deidentification of Electronic Health Record Notes. View
  2. Zhao Z, Chou P, Hussain Mir T, Dai H. Large Language Models for Automatic Deidentification of Electronic Health Record Notes. View