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Updated: Jul 6, 2026

A Test Bed to Examine Helmet Fit and Retention and Biomechanical Measures of Head and Neck Injury in Simulated Impact

A Test Bed to Examine Helmet Fit and Retention and Biomechanical Measures of Head and Neck Injury in Simulated Impact

Published on: September 21, 2017

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

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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 medicine artificial intelligence medical documentation

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Last Updated: Jul 6, 2026

A Test Bed to Examine Helmet Fit and Retention and Biomechanical Measures of Head and Neck Injury in Simulated Impact

A Test Bed to Examine Helmet Fit and Retention and Biomechanical Measures of Head and Neck Injury in Simulated Impact

Published on: September 21, 2017

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.