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

Nursing in a Hospital Setting (106) Clinical Informatics (1091) Nursing Education and Training (143) Electronic Health Records (1103) Speech and Phonetics in Verbal Protocols (Think Aloud, Recall, and Explanation Tasks) (93)

Published on in Vol 5, No 1 (2022): Jan-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/37562, first published .
Code-Switching Automatic Speech Recognition for Nursing Record Documentation: System Development and Evaluation

Code-Switching Automatic Speech Recognition for Nursing Record Documentation: System Development and Evaluation

Code-Switching Automatic Speech Recognition for Nursing Record Documentation: System Development and Evaluation

Authors of this article:

Shih-Yen Hou1 Author Orcid Image ;   Ya-Lun Wu1 Author Orcid Image ;   Kai-Ching Chen1 Author Orcid Image ;   Ting-An Chang1 Author Orcid Image ;   Yi-Min Hsu1 Author Orcid Image ;   Su-Jung Chuang1 Author Orcid Image ;   Ying Chang1 Author Orcid Image ;   Kai-Cheng Hsu1 Author Orcid Image
Article Authors Cited by (4) Tweetations (2) Metrics

Journals

  1. . The NCSBN 2024 Environmental Scan: Every Moment Matters, Realizing Lasting Impact. Journal of Nursing Regulation 2024;14(4):S1 View
  2. Wang X, Jin Y, Xie F, Long Y. Tri-stage training with language-specific encoder and bilingual acoustic learner for code-switching speech recognition. Applied Acoustics 2024;218:109883 View
  3. Dong L, Hirayama H, Zheng X, Masukawa K, Miyashita M. Using voice recognition and machine learning techniques for detecting patient‐reported outcomes from conversational voice in palliative care patients. Japan Journal of Nursing Science 2025;22(1) View

Books/Policy Documents

  1. Huang Y, Lin C, Chen C. Innovative Technologies and Learning. View