Successfully Delivering AI Solutions in Healthcare: Pitfalls and Prevention

Thursday, April 20 at 2:30 PM - 3:30 PM CT
South Building, Level 4 | S402

CIOs and CDOs have made huge IT investments in recent years with varying ROI from their data. Many are turning to AI, hoping to leverage their new data investments to improve and personalize patient care, increase reimbursements and drive operational efficiencies. But do you buy point solutions for each challenge?  Or build a data science team to deliver internal AI solutions? What are the trade-offs, including managing algorithmic discrimination risk amidst maturing AI regulation? 

Learning Objectives

  • Breakdown the components of a canonical AI stack
  • Identify best practices and common pitfalls of AI implementation in Healthcare
  • Define common risks - including bias- with algorithms, practical approaches for detection and mitigation, and trends in regulation for algorithmic reporting
Chief Data Officer, CIO/CTO/CTIO/Senior IT, Data Scientist


Chandler McCann
Field Chief Technology Officer for Healthcare and Manufacturing