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Related Experiment Videos

Medical documentation using artificial intelligence (AI) for battlefield injury simulations: A comparative study.

Daniel Gelman1, Danielle Akler, Gil Shimon

  • 1Trauma and Operational Medicine Division, Surgeon General Headquarters, Israel Defense Forces Medical Corps, Tel Hashomer, Ramat Gan, Israel (D.G., D.A., G.S., S.O., I.K., M.L., O.A., A.B., Z.A.B., R.N.); Department of Military Medicine, Faculty of Medicine, Hebrew University, Jerusalem, Israel (D.G., I.K., O.A., Z.A.B.); and The Azrieli Faculty of Medicine, Bar-Ilan University, Safed, Israel (A.B.).

The Journal of Trauma and Acute Care Surgery
|June 1, 2026
PubMed
Summary

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This summary is machine-generated.

Artificial intelligence (AI) speech-based documentation is feasible for prehospital trauma care, matching manual documentation completeness while improving usability. Further real-world evaluation is recommended for operational implementation.

Area of Science:

  • Emergency Medicine
  • Health Informatics
  • Artificial Intelligence in Healthcare

Background:

  • Incomplete prehospital documentation hinders patient care continuity and data quality.
  • Manual documentation is burdensome for healthcare providers, especially under stress.
  • Speech-based AI offers a potential solution for real-time documentation without workflow disruption.

Purpose of the Study:

  • To assess the feasibility of AI-assisted speech-based documentation in simulated prehospital trauma care.
  • To compare documentation completeness and usability between AI-assisted and manual methods.
  • To evaluate the potential of AI to improve prehospital documentation efficiency.

Main Methods:

  • A feasibility study involving eight teams in simulated prehospital trauma scenarios.
Keywords:
Combat medicineartificial intelligencemedical documentation

Related Experiment Videos

  • Randomized comparison of AI-assisted speech-based documentation versus conventional manual documentation.
  • Analysis of documentation completeness across 40 predefined fields and user-reported usability.

    • Main Results:

    • AI-assisted documentation achieved a 91% success rate in simulations.
    • Documentation completeness was comparable between AI-assisted (73.9%) and manual (64.8%) methods (p=0.31).
    • AI-assisted documentation significantly improved perceived ease of use (p=0.024) and data entry (p=0.015).

    Conclusions:

    • AI-assisted speech-based documentation is feasible in simulated prehospital settings.
    • The AI approach demonstrated comparable documentation completeness to manual methods.
    • AI-assisted documentation offers improved usability, warranting further development and real-world evaluation.