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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.).
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.
- 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.