From Data to Intelligence: AI Use Cases and Quality Conformance in HIE Systems

This session is part of the Interoperability & HIE Preconference Forum and additional registration is required.

This session explores the transformative potential of artificial intelligence in Health Information Exchange (HIE) systems while addressing the critical foundations of data quality and ethical implications. Participants will examine real-world AI use cases that are revolutionizing HIE operations, from automated data validation and clinical decision support to predictive analytics and population health insights. The session emphasizes the essential role of data quality conformance in enabling successful AI applications, covering standards-based data normalization, quality assessment frameworks, and continuous improvement processes. Attendees will also explore ethical considerations for AI deployment in healthcare data sharing environments, including bias mitigation, transparency requirements, and responsible AI governance frameworks.