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Related Concept Videos

Nursing Clinical Information System01:27

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Nursing Clinical Information System (NCIS)
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Code-Switching Automatic Speech Recognition for Nursing Record Documentation: System Development and Evaluation.

Shih-Yen Hou1, Ya-Lun Wu1, Kai-Ching Chen1

  • 1Artificial Intelligence Center for Medical Diagnosis, China Medical University Hospital, Taichung City, Taiwan.

JMIR Nursing
|December 8, 2022
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Summary

This study developed a speech recognition system to reduce nursing workload in Taiwan. The system, utilizing meta-transfer learning (MTL), significantly improved the accuracy of transcribing Mandarin-English nursing records.

Keywords:
automatic speech recognitioncode-switchingmeta–transfer learningnursing recordstransfer learning

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Area of Science:

  • Artificial Intelligence in Healthcare
  • Natural Language Processing
  • Clinical Documentation

Background:

  • Taiwan faces nursing shortages due to high healthcare provider turnover.
  • Reducing nurse workload is critical for retaining staff.
  • Speech transcription offers potential for efficient nursing record documentation.

Purpose of the Study:

  • To develop a speech recognition system for nursing records.
  • Enable healthcare providers to complete records with minimal typing.
  • Improve efficiency in clinical documentation processes.

Main Methods:

  • Created the China Medical University Hospital Artificial Intelligence Speech (CMaiSpeech) dataset (100 hours, 525 speakers).
  • Applied transfer learning (TL) and meta-transfer learning (MTL) methods.
  • Focused on Mandarin-English code-switching scenarios common in Taiwanese nursing records.

Main Results:

  • The proposed syllable-based MTL model achieved a word error rate (WER) of 22.20% in code-switching.
  • The CMaiSpeech dataset comprises a Mandarin-English corpus.
  • The system demonstrated effectiveness in a clinical case with a WER of 31.06%.

Conclusions:

  • Established the CMaiSpeech dataset, a valuable Mandarin-English corpus.
  • Developed an automatic speech recognition system for nursing records.
  • The system can reduce healthcare provider workload and improve handover efficiency.