Chief Clinical Officer Life Link III Mahtomedi, Minnesota
Disclosure(s): No financial relationships to disclose
Disclosure(s):
Kolby L. Kolbet, MSN, RN, CFRN, FACHE, CMTE, FAASTN: No financial relationships to disclose
In this cutting-edge session, we explore the transformative potential of Artificial Intelligence (AI) in revolutionizing air medical transport services. As the healthcare landscape evolves, AI emerges as a powerful ally for both clinical staff and leadership, promising to enhance patient care while streamlining operations.
Attendees will gain insights into the practical applications of AI and Generative AI (GenAI) in reducing administrative burdens and supporting clinical decision-making. We'll demystify key concepts such as Natural Language Processing (NLP), Retrieval-Augmented Generation (RAG), and Ambient AI, illustrating their relevance to air medical services.
The session addresses critical questions surrounding AI adoption, including HIPAA compliance and the development of safe-use policies. We'll discuss strategies for encouraging staff to explore and embrace AI tools responsibly, fostering a culture of innovation while maintaining the highest standards of patient care and data security.
Looking to the future, we'll explore exciting possibilities such as AI-guided decision support, automated chart reviews, and ambient intelligence in air medical settings. Practical examples and use cases will demonstrate how these technologies can enhance operational efficiency and clinical outcomes.
Whether you're a clinical professional seeking to understand how AI can support your daily tasks, or a leader looking to navigate the strategic implementation of AI in your organization, this session offers valuable insights for all levels of air medical service providers.
Learning Objectives:
Explore practical applications of AI and GenAI to reduce administrative burden and enhance clinical decision-making in air medical services
Understand key AI concepts and their relevance to healthcare, including privacy considerations and policy development for safe AI adoption
Envision the future of air medical transport through emerging AI technologies, from ambient AI to automated chart reviews