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Valentina Bellini1, Matteo Panizzi1, Tania Domenichetti1

  • 1Seconda Uoc Anestesia e Rianimazione, Azienda ospedaliero-universitaria di Parma.

Recenti Progressi in Medicina
|October 2, 2025
PubMed
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Internet of Things (IoT) and Artificial Intelligence (AI) improve surgical efficiency by automatically recording operative times using BLE bracelets. AI models predict procedure duration for better operating room management.

Area of Science:

  • Medical Informatics
  • Artificial Intelligence in Medicine
  • Internet of Things in Healthcare

Background:

  • Manual recording of surgical operative times is inefficient and prone to errors.
  • Optimizing operating room (OR) management requires accurate procedure duration data.
  • Emerging technologies like IoT and AI offer potential solutions for data collection and analysis in healthcare.

Purpose of the Study:

  • To evaluate the efficiency of using IoT and AI for automatic operative time collection.
  • To assess the accuracy of AI-driven models in predicting surgical procedure duration.
  • To demonstrate the benefits of these technologies for OR resource management.

Main Methods:

  • Utilizing Bluetooth Low Energy (BLE) bracelets for automatic, real-time data capture of operative times.

Related Experiment Videos

  • Developing and training Artificial Intelligence (AI) models on actual surgical data.
  • Comparing the precision and efficiency of automated data collection against traditional manual methods.

    • Main Results:

    • Automated data collection via BLE bracelets significantly improved efficiency and precision compared to manual recording.
    • Surgery-specific AI models demonstrated enhanced accuracy in predicting procedure duration.
    • The integration of IoT and AI facilitated better operational planning and resource allocation.

    Conclusions:

    • The combination of IoT and AI provides a robust solution for precise operative time tracking.
    • AI-powered predictive models enhance surgical workflow efficiency and resource optimization.
    • This technological approach represents a significant advancement in modern operating room management.