Utilization of AI Ecosystem Assets in Healthcare

December 3, 2020

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Learning Objectives

  • Differentiate value proposition of distinct Artificial Intelligence (AI) Ecosystem Assets to healthcare delivery.
  • List limitations of existing healthcare delivery workflows.
  • Develop re-engineered clinical workflows taking advantage of AI Ecosystem Assets.


S. Vincent Grasso, DO'91, MSIS, MBA
Global Practice Lead: Healthcare & Life Sciences, IPsoft

Dr. S. Vincent Grasso is the Global Practice Lead for Healthcare & Life Sciences at IPsoft, and has more than 30 years of surgical, research, consulting and community leadership experience. A graduate of St. Peter’s University (B.S.), Des Moines University College of Osteopathic Medicine (DO), Mount Sinai School of Medicine (Surgical Residency), Yale University Department of Surgery (Advanced Laparoscopic Surgery Fellow), Yale University NASA Commercial Space Center for Medical Informatics and Technology Applications (Informatics Fellow), New Jersey Institute of Technology (MSIS) and University of Massachusetts Amherst (MBA), Dr. Grasso brings a uniquely-qualified skillset to all of his endeavors. In addition to being a trained physician and AI Luminary, Dr. Grasso is a chef, piano player, and, in his spare time, he volunteers serving the underprivileged at a clinic in Newark, New Jersey. To top it off, he has also traveled to Mount Everest to test medical equipment at altitude! 

Dr. Grasso brings not only the necessary medical acumen and expertise to provide excellent patient-centered care, but also has an established track record of leveraging cutting-edge technology in hospital and healthcare organizations, which benefit both patient care and the business of delivering exceptional healthcare services. Dr. Grasso's current projects focus on the utilization of AI to help curb the opioid crisis, improve mobile healthcare for home visits, and assist administrators with revenue cycle management.

Dr. Grasso's presentation is not eligible for continuing education credit. 

Course summary
Available credit: 
  • 0.75 CE Contact Hour(s)
Course opens: 
Course expires: 
Event starts: 
12/03/2020 - 12:00pm CST
Event ends: 
12/03/2020 - 12:45pm CST

Available Credit

  • 0.75 CE Contact Hour(s)


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