Effectiveness of the MILGEOMED system in supporting medical activities in a hospital emergency department: an experimental evaluation
Paweł Wiktorzak1, Agnieszka Rustecka2, Agata Tomaszewska2,3, Bartosz Rustecki4, Anna Grudziecka5
Affiliation and address for correspondenceIntroduction and objective: Modern combat medicine is developing innovative solutions aimed at saving lives in extreme conditions with limited resources. These experiences are increasingly being transferred to civilian settings, particularly emergency medicine. Solutions such as advanced triage systems, mass‑casualty incident procedures, and haemostatic technologies have already been successfully adapted for use in hospitals and emergency medical services. The MILGEOMED system, developed under a national defence and health innovation programme, is designed to support emergency response through real‑time biomedical monitoring, unmanned aerial vehicle deployment, and geoinformation processing. This study evaluated the system’s effectiveness in a hospital environment, specifically within the emergency department. Materials and methods: The study included 100 randomly selected patients from the Emergency Department of the Military Institute of Medicine – National Research Institute. All patients underwent standard diagnostics (TOPSOR, NEWS2) and vital‑sign measurements using Mindray/ZOLL devices and the MILGEOMED system (noise radar, capnometer). The collected data were subsequently subjected to statistical analysis. Results: The radar sensors used in the study showed greater measurement variability than the reference clinical devices Mindray and ZOLL; however, their accuracy remained within clinically acceptable limits for diagnostic-support applications. Compared to standard triage performed by emergency department staff, the MILGEOMED system was associated with a reduction in triage time and an improvement in the quality of patient assessment. Additionally, fewer procedural errors and better team communication were noted. Conclusions: The implementation of the MILGEOMED system could be a significant step towards developing automated methods for assessing patient condition and supporting clinical decision-making in Poland, by integrating medical, geoinformation, and artificial intelligence technologies.










