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Web-based medical speech recognition (ASR) significantly boosts clinical documentation speed by 26% and improves physician satisfaction. This technology enhances efficiency and mood during electronic health record tasks.

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automatic speech recognitionelectronic health recordrandomized controlled trial

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Area of Science:

  • Medical Informatics
  • Health Information Technology
  • Clinical Documentation

Background:

  • Electronic health records (EHRs) have transformed clinical documentation, increasing physician computer time.
  • Speech recognition is explored as a method to improve documentation efficiency, quality, and healthcare professional satisfaction.
  • Limited studies exist on the impact of speech recognition in clinical settings.

Purpose of the Study:

  • To evaluate the effects of a Web-based medical speech recognition system on documentation speed.
  • To assess the impact on document length and physician satisfaction in a university hospital setting.
  • To compare outcomes with and without automated speech recognition (ASR) assistance.

Main Methods:

  • Randomized study involving 28 physicians using a German-language Web-based ASR system.
  • Documentation speed, correction effort, document length (characters), and participant mood were recorded.
  • Comparison between ASR-assisted and non-assisted documentation using permutation tests.

Main Results:

  • ASR increased documentation speed by 26% (217 vs. 173 characters/minute).
  • Document length increased significantly with ASR assistance (649 vs. 356 characters).
  • Physician mood rating improved significantly with ASR (1.3 vs. 1.6 on a 1-3 scale).

Conclusions:

  • Web-based speech recognition enhances medical documentation speed and length.
  • The system positively impacts physician mood and satisfaction.
  • Automated speech recognition is an effective tool for clinical documentation.