AI patients, real practice: exploring the use of AI-simulated patients to support primary healthcare training for combat medical technicians
Introduction Combat Medical Technicians (CMTs) are central to military primary care but have limited opportunity for clinical exposure. Simulated patients offer a controlled method to maintain clinical currency. Advances in conversational artificial intelligence (AI) enable realistic and interactive simulated consultations. We present our evaluation of the feasibility, acceptability and educational impact of AI-simulated patients for CMT training. Methods Five military primary care simulated patients were develo…

In brief
Introduction Combat Medical Technicians (CMTs) are central to military primary care but have limited opportunity for clinical exposure. Simulated patients offer a controlled method to maintain clinical currency.
Advances in conversational artificial intelligence (AI) enable realistic and interactive simulated consultations. We present our evaluation of the feasibility, acceptability and educational impact of AI-simulated patients for CMT training.
Main points
- Introduction Combat Medical Technicians (CMTs) are central to military primary care but have limited opportunity for clinical exposure.
- Simulated patients offer a controlled method to maintain clinical currency.
- Advances in conversational artificial intelligence (AI) enable realistic and interactive simulated consultations.
The gain
Statistically significant improvements were observed in 10 of 12 clinical domains, including core consultation skills such as comprehensive history taking, identifying key symptoms, adapting questioning and formulating a management plan, and differential diagnoses (all p Conclusion AI-simulated patients are feasible to implement and are associated with meaningful improvements in consultation confidence among CMTs.
Sources
- Peer-reviewedEducation for Primary Care2026-08-21
ace
The debate