

Recognizing the "Value Proposition” Criteria While Selecting AI Applications
Wednesday, March 11, 2026 2:00 PM to 3:00 PM · 1 hr. (US/Pacific)
Level 2 | Venetian E
Views From the Top
Artificial Intelligence in Healthcare
Information
The values embedded in an AI application often influence its performance and recommendations more than most teams anticipate. While bias often centers on the source and quality of foundational data, how the application is designed around its value proposition can exert an even greater influence. Learn in this session how these hidden settings should be recognized, interpreted, and addressed early.
Target Audience
AI ProfessionalCEO/COOCMIO/CMO
Level
Intermediate
Format
Panel Discussion
Learning Objective #1
Identify the key factors to understand and evaluate when selecting AI applications as part of a formal selection criteria
Learning Objective #2
Receive recommendations for an optimal application selection process to reinforce values and minimize bias
Learning Objective #3
Discuss the rapid deployment of AI tools and applications that are changing the healthcare ecosystem
Session #
116
Speakers

Harold (Hal) F. Wolf III
Digital Health Transformation Leader, President and Chief Executive OfficerHIMSS
Ran Balicer
Deputy-DG, Chief Innovation OfficerClalit Health Services
Isaac Kohane
Computer Scientist, Physician leader, Marion V. Nelson Professor and Chair, Biomedical InformaticsHarvard Medical SchoolDocuments & Links
116 - Session Survey
