Year: 2025
Type: conference-paper
Study design: Systematic Review
Abstract: This article examines the evolution of Romania's 112 Emergency Call system, focusing on the integration of advanced technologies, including artificial intelligence (AI). Utilizing Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) -based analysis, this study systematically reviews key advancements in emergency response systems, emphasizing technologies like Advanced Mobile Location (AML), E-call systems, and wearables that enhance response accuracy and speed. It also investigates the evolution and integration of advanced technologies within Romania's 112 Emergency Call System, emphasizing the role of artificial intelligence (AI) in emergency management. Utilizing the Preferred Reporting Items for Systematic Reviews and MetaAnalyses (PRISMA) methodology, this research systematically examines advancements such as Advanced Mobile Location (AML), E-Call systems, and wearables, which enhance response accuracy and speed. AI-driven innovations like real-time data analytics and automated resource allocation significantly improve incident classification and inter-agency communication. Under the framework of Next Generation 112 (NG112), these technologies support decision-making processes, streamline operations, and complement human expertise. Furthermore, the research identifies PrivacyEnhancing Technologies (PETs) as essential in safeguarding sensitive data during AI integration, including homomorphic encryption and privacy-preserving machine learning. It invites the international community to engage in advancing emergency response systems by leveraging innovative technologies while ensuring ethical considerations and data security. The research concludes that Romania’s 112 system exemplifies a progressive approach to managing emergency call systems, offering valuable insights into the potential for global adoption of similar practices.
Authors: Edita BOKOR, Cristian LĂȚEA, Alina SAVA, Madlena NEN
Institution: Bucharest University of Economic Studies
Language: English
Topic: Safety and Risk Management
Domain: Social Sciences
Open Access status: bronze
OpenAlex ID: W4408883928