Originally Aired - Wednesday, March 13 • 8:30 AM - 9:30 AM Eastern Time (US & Canada)
Create or Log in to My Show Planner to see Videos and Resources.
Create or Login to MyHIMSSPlanner to build your schedule and see more information.
{{chatBodyContent}}
Be sure to come back after the session starts to have access to session resources.
Location: W224E
Type: General Education
Session ID: 86
Title: Views From The Top: The Future of AI in Healthcare: Challenges, Collaborations, and Innovations
Description: This panel discussion, "The Future of AI in Healthcare: Challenges, Collaborations, and Innovations", aims to explore the transformative impact of Artificial Intelligence (AI) in healthcare. It will focus on the shift from specialized AI applications to comprehensive foundation models, examining how this evolution is reshaping healthcare in terms of patient care, diagnostic accuracy, and operational efficiency. The session intends to dissect the integration of AI across various healthcare domains, emphasizing its role in enhancing patient outcomes and revolutionizing both treatment and diagnostics. The discussion will also delve into the necessary collaborative dynamics among healthcare professionals, technology firms, and MedTech companies, crucial for advancing practical and ethical AI applications. Key topics include addressing the ethical implications and regulatory challenges of AI in healthcare, such as data privacy and algorithmic biases. Furthermore, the panel will explore how different global perspectives affect AI adoption, considering economic and infrastructural variations. Looking ahead, the conversation will focus on the potential future trends in AI, its role in patient engagement, and the challenges and opportunities that lie ahead in integrating AI into healthcare systems worldwide.
Level: Intermediate
Format: 60-Minute Panel Discussion
Learning Objective #1: Examine the value of synergy between healthcare providers, big tech & medtech
Learning Objective #2: Review global perspectives: how different economic & infrastructural contexts affect AI adoption in healthcare
Learning Objective #3: Discuss responsible AI and regulatory challenges around addressing bias, ensuring patient safety, and navigating regulatory frameworks
