The Potential and Peril of Predictive Analytics in Healthcare

This session is part of the AMDIS/HIMSS Physicians' Executive Preconference Forum and requires additional registration.

This session explores the transformative potential of predictive analytics to guide patient care or operational processes via an interplay of the AI model’s output, the decision-making protocol based on that output, and the capacity of the stakeholders involved to take the necessary subsequent action. Through case studies, we’ll examine successful implementations, challenges, and lessons learned emphasizing how a mechanism to identify fair, useful and reliable AI models (FURM) can help ensure equitable outcomes and discussing the financial impact of predictive models in improving efficiency and reducing costs for healthcare systems.