ASK US: AI in Emergency Medicine: Considerations in clinical trials

The introduction of Large Language Models (e.g. ChatGPT) has sparked a lot of interest and rapid development, especially in healthcare. Specifically, there is excitement around how AI can support patient care and improve healthcare professionals’ workflow efficiency and decision-making processes.

Emergency Medicine has a specific clinical context that can use AI to improve care. This dialogue explores areas in health services research, clinical trials, and implementation science where AI can play either a facilitation or a pivotal role in improving patient care.

Our keynote speaker for this episode is Dr. Kendall Ho, emergency medicine specialist, professor at the University of British Columbia Faculty of Medicine. Dr. Ho brings his expertise in digital medicine and trends in innovations for clinical trials to ASK US.

Join us for this innovative and thought-provoking topic.

Learning objectives 

The learner will be able to: 

• Explore where AI can support the context and phases of emergency medicine patient care flow: input, throughput, output
• Discuss the key principles of AI as it applies to clinical decision support in Emergency Medicine
• Identify the key needs to enable an emergency medicine environment for AI clinical trials: technologies, data, policy and people

Speaker

Dr. Kendall Ho, MD FRCPC FCAHS
Professor of Emergency Medicine & Lead, Digital Emergency Medicine Unit, Department of Emergency Medicine, UBC Faculty of Medicine
Medical Director, BC Ministry of Health HealthlinkBC 811 Virtual Physicians Program

Dr. Kendall Ho is an emergency medicine specialist, professor at the University of British Columbia (UBC) Faculty of Medicine, and lead at the Digital Emergency Medicine Unit. He is the medical director of the BC Ministry of Health HealthLink BC virtual physician program, and collaborates with provincial partners on implementing and evaluating the BC Real Time Virtual Support provincial virtual care services.

His Digital Emergency Medicine research and knowledge translation work focuses on using digital technologies and data science to support high-quality access to emergency care and safe translation between communities and hospitals for patients. Examples include virtual care, wearables and sensors, machine learning and artificial intelligence, and multicultural engagement in digital health literacy to support patient transition between emergency departments and the community. Partnering with colleagues and organizations in BC, Canada, and internationally, his body of research and educational work has been recognized with multiple awards, and his community service activities were acknowledged with the BC Medal of Good Citizenship. He is a fellow of the Royal College of Physicians and Surgeons of Canada, and the Canadian Academy of Health Sciences.