Artificial Intelligence vs COPD: The Fight for Patient Health
3:00pm - 4:00pmTuesday, 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.
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