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Background <p>Surgical safety checklists are essential for reducing errors and improving outcomes, but consistent, full-phase adherence remains suboptimal. Traditional paper-based systems can disrupt workflow and limit team engagement. Voice-enabled solutions offer potential to improve compliance while preserving sterile conditions and communication flow in the operating room (OR).</p> Methods <p>This study aimed to develop and evaluate a prototype voice-controlled digital assistant for surgical checklists - referred to as ‘VoiceCheck’ – with a focus on usability, technical performance, and feasibility in real-world clinical settings. VoiceCheck guides clinical teams through the <i>“</i>Sign In”, <i>“</i>Time-out”, and <i>“</i>Sign Out” phases of the surgical checklist using voice commands and speech transcription. The system operates offline, incorporating Rhasspy for intent recognition and Whisper for speech-to-text transcription. Twelve surgical team members participated in a field evaluation, completing structured tasks alongside routine workflows. Usability was assessed using the System Usability Scale (SUS) and a custom questionnaire. Technical evaluations tested Whisper V2 and V3 under quiet and noisy conditions, and Rhasspy’s intent and wake word recognition across 1’125 commands in two environments (noisy, quiet).</p> Results <p>Participants rated usability positively (SUS median score 76.04). Whisper V3 achieved 90.7–97.3% transcription accuracy, outperforming V2 in noisy settings. Rhasspy recognized intents with 92.8–94.8% accuracy and maintained a low false-positive rate. VoiceCheck functioned reliably offline and was preferred with a conference microphone for multi-user interaction.</p> Conclusion <p>VoiceCheck demonstrates feasibility for voice-assisted checklist execution in surgical settings. It was well accepted by users and performed reliably under realistic conditions. Further research should explore clinical integration, workflow impact, and multilingual capabilities.</p>

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Development and evaluation of a novel voice-enabled prototype to support consistent application of surgical safety checklists: a proof-of-concept study

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年12月24日

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  • Pedro Miguel Inácio Medroa,
  • Marcel Saltan,
  • Sandro-Michael Heining,
  • Kerstin Denecke

摘要

Background

Surgical safety checklists are essential for reducing errors and improving outcomes, but consistent, full-phase adherence remains suboptimal. Traditional paper-based systems can disrupt workflow and limit team engagement. Voice-enabled solutions offer potential to improve compliance while preserving sterile conditions and communication flow in the operating room (OR).

Methods

This study aimed to develop and evaluate a prototype voice-controlled digital assistant for surgical checklists - referred to as ‘VoiceCheck’ – with a focus on usability, technical performance, and feasibility in real-world clinical settings. VoiceCheck guides clinical teams through the “Sign In”, “Time-out”, and “Sign Out” phases of the surgical checklist using voice commands and speech transcription. The system operates offline, incorporating Rhasspy for intent recognition and Whisper for speech-to-text transcription. Twelve surgical team members participated in a field evaluation, completing structured tasks alongside routine workflows. Usability was assessed using the System Usability Scale (SUS) and a custom questionnaire. Technical evaluations tested Whisper V2 and V3 under quiet and noisy conditions, and Rhasspy’s intent and wake word recognition across 1’125 commands in two environments (noisy, quiet).

Results

Participants rated usability positively (SUS median score 76.04). Whisper V3 achieved 90.7–97.3% transcription accuracy, outperforming V2 in noisy settings. Rhasspy recognized intents with 92.8–94.8% accuracy and maintained a low false-positive rate. VoiceCheck functioned reliably offline and was preferred with a conference microphone for multi-user interaction.

Conclusion

VoiceCheck demonstrates feasibility for voice-assisted checklist execution in surgical settings. It was well accepted by users and performed reliably under realistic conditions. Further research should explore clinical integration, workflow impact, and multilingual capabilities.