Session ID: 

Artificial Intelligence vs COPD: The Fight for Patient Health

3:00pm - 4:00pm Tuesday, February 12
Orlando - Orange County Convention Center


Geisinger Health System is using a unique and powerful cognitive machine to drive down rates of avoidable admissions for COPD patients. Applied within the system’s largest medical center, this AI solution is helping identify the sub-group of COPD patients at risk of an acute exacerbation (AECOPD). Approximately 50% of AECOPD are not reported by patients, but AECOPD drives 2.4% of acute hospitalizations. Leveraging cognitive machine technology, Geisinger is able to pin point those COPD patients at a 30x risk of an avoidable admission and the interventions that will most likely keep a patient out of the hospital. During this session, the speakers will provide an overview of the project, current and projected clinical performance/impact and key lessons learned in the application of AI to reduce complications for patients with chronic conditions.

Learning Objectives: 

  • Differentiate between cognitive machine-driven AI and machine learning/predictive analytic models
  • Identify the shortcomings of predictive analytic methods in reducing risk for COPD patients
  • Explain how AI can be applied to support chronic condition management—specifically for COPD patients and more broadly
  • List the critical activities required to drive physician adoption of AI solutions


Chair of Pulmonary and Critical Care Medicine, System Director of Pulmonary and Sleep Medicine Institute, Director of Population Health,
Geisinger Medical Center
Chief Product Officer ,
Jvion, Inc.


Chief Quality, Chief Clin Transformation Officer