As an emergency medical dispatcher and PhD student, my research focuses on first aid and the AI-assisted analysis of emergency call communication. My work examines the invisible early phase of emergency response. Those critical minutes when cooperation between the dispatcher and the lay caller may determine the quality and speed of assistance even before the ambulance begins to move.
Communication between dispatchers and lay responders plays a key role at the beginning of the emergency chain. This research area focuses on real-time situation recognition, quality of guidance, and the rapid organization of assistance.
In the analysis of emergency calls, artificial intelligence and speech recognition may provide a decision-support layer that enables faster and more accurate triage.
The quality of educational materials and layperson training directly influences how quickly and effectively assistance begins even before professional care arrives.
Orvosi Hetilap (2025)
Invisible Support, Life-Saving Cooperation
Review article examining the cooperation between emergency medical dispatchers and lay responders, as well as the role of technological support in emergency care.
Scientific Reports (2025)
Video-assisted CPR pilot study
Participation in a simulation-based pilot study investigating the feasibility of video-assisted CPR when the lay responder is alone with the patient.
Resuscitation / Resuscitation Plus (2025)
Publications on first aid education and V-CPR
Contribution to international publications focusing on first aid education, video-assisted CPR, and emergency communication.