Session ID: 

Crossing the Machine Learning Operationalization Chasm: Navigating from Question to Outcome

1:30pm - 2:00pm Monday, February 11
Orlando - Rosen Centre
Rosen Centre Jr. Ballroom F


Healthcare organizations have unprecedented opportunities to apply machine learning and artificial intelligence towards achieving the "triple aim" of enhancing the patient experience, improving the health of populations, and controlling costs. But when it comes to implementing these transformative technologies and achieving strategic goals, many healthcare organziations fall short.
In this presentation, a seasoned IT and strategic leader shares a framework to help business and technology leaders operationalize their ML & AI initiatives for organizational success. As he’ll explain, enabling the business action requires that the generated insights are integrated into systems that support key business processes such as member outreach and care coordination.

Learning Objectives:
• Key opportunities and business use cases for healthcare organizations to apply machine learning & artificial intelligence towards achieving "triple aim" objectives.
• Overcoming challenges in operationalizing ML & AI solutions.
• An end-to-end machine learning & artificial intelligence framework (people, process, technology) to plan, build, and deploy ML & AI solutions to achieve outcomes.


Director of Enterprise Architecture,
Blue Shield of CA


Chief Quality, Chief Clin Transformation Officer