AHFE Open AccessRedefining Emergency Services with Generative AI: Insights from a preliminary literature review
Abstract
The rapid evolution of artificial intelligence (AI) technologies, particularly generative AI (GenAI), has opened new frontiers in various sectors including emergency services. We present the results of a preliminary literature review of the current research on generative AI in emergency departments with a focus on use cases and their implications. We systematically examine peer-reviewed articles, case studies, and practical implementations to identify key trends, challenges, and opportunities in this growing field. Our findings underscore the need for ongoing research, ethical considerations, and cross-sector collaboration to fully leverage AI's capabilities to enhance the effectiveness and efficiency of emergency response.
Keywords: GenAI, ChatGPT, Triage, Emergency, SLR, LLM
DOI: 10.54941/ahfe1005099
Cite this paper
More from this volume
- T-shaped Professionals: The Past, Present, and Future of MyT-Me Development
- From Generative AI to Generative Organizations: A Service Lens on Organizational Learning and Development
- Exploring regulatory frameworks for AI/ML through different lenses: A comparative approach
- Harnessing Growth-Mindedness to Enhance Organizational Effectiveness
- The Allocation of Decarbonization Responsibility and Institutional Innovation Under the Value co-Creation of Service Ecosystem
- Governance of interconnected value creation systems: rules of engagement for effective cooperation among companies in a competitive context
- Towards Cognitive Service Systems–a framework for conceptualizing AI-supported value co-creation
- Co-Creation of "Value-in-Context" in High-Quality Service: A Case Study
- A form of value co-creation in an innovation success team
- Development of food bank data visualizations using eye tracking
- Role of T-shape in IT academic research
- Support Vector Machines Models for Human Decision-Making Understanding: A Different Perspective On Emotion Detection