Use Case Work Groups
Description
The general health advice AI chatbot is designed to provide users with reliable, non-clinical health information and personalized guidance, promoting informed decision-making and enhancing health literacy.
Timeline
Q1 2025 – Q4 2025
Goals
Develop Responsible AI content that focuses on:
Critical best practice guidance and associated tools & resources
Methods, metrics, benchmarks, and open-source tooling to objectively evaluate responsible use of a general health advice AI chatbot
Consumer-facing model card, or nutrition label, that consumers of general health advice chatbots can leverage to better understand how well these tools meet responsible AI.
Output
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Testing & Evaluation (T&E) Framework - General Health Advice Chatbot
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Work Group Leads:
Name | Organization |
|---|---|
Aimee Bailey | Zelis |
Anita Mudiaga | WellnessWits |
Alexandra Plante | National Council for Mental Wellbeing |
Jing Wang | Florida State College of Nursing |
Atif Adam | IQVIA |
David Norris | Affineon |
Work Group Members
AdventHealth Affineon
AHA
Aidoc Airia
Alzheimer's Association
Amazon
American Nurses Association
Amputee Coalition
Baylor Scott & White
BrainHi
CAP
Celiac Disease Foundation
Chronic Boss Collective
Cleveland Clinic
Connected Health Consulting
CVS Health
Deerfield Management
EBSCO
Ema
Florida State College of Nursing
Georgetown
Global Liver Institute
Health Quality Advisors
Innovaccer
IQVIA
Lotus Health
MGB
Mayo
Medstar
MSK
Mila Health
Mount Sinai
Nao Medical
National Council for Mental Wellbeing
National Health Council (NHC)
Nimble Works
Nurse Approved
OCHIN
Open Notes
OpenAI
Pair Team
Pieces
Prevent Blindness
RAND
Sharp Health
Stanford
Steer Health
SUNY
UC Irvine
UNC Health
UnitedHealth Group
URMC
UW Health
WellnessWits
Yale
