Session ID: 
54

Artificial Intelligence vs COPD: The Fight for Patient Health

3:00pm - 4:00pm Tuesday, February 12
Orlando - Orange County Convention Center
W206A

Description

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

Speaker(s): 

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.

Audience: 

Chief Quality, Chief Clin Transformation Officer
CMIO/CMIO
CNIO/CNO

Level: 

Intermediate