OUR WORKSTREAMS

Generative AI Model Life Cycle Best Practices & Technical Implementation Guide​

This workstream will provide input on best practices and create technical guidance on generative AI through real-world use case examples. Work group members will share use cases to apply CHAI products and develop technical implementation guides.​

CO-CHAIRS

Vandy Kapoor
Google

Rebecca Mishuris
Mass. General

MEMBERS

ORGANIZATIONS

Judy Gichoya Emory
Adam Rodman Harvard
Jon McManus
Sharp Healthcare
Meta Tshilombo
American Diabetes Association
Abdul Tariq
Children’s Hospital of Philadelphia
Sara Murray UCSF
Hua Xu Yale
Daniel Yang
Kaiser Permanente
Vincent Liu
Kaiser Permanente
David Talby John Snow Labs
Henry Roberts FDA
Kim Nolen Pfizer
Dinh Nguyen
Kaiser Permanente
Lisa Lehmann Harvard
Chris Schubert CVS
Chris Farrance Google
Zach Hettinger MedStar
Dax Dickenson AdventHealth
Timothy Driscoll
Boston Children’s
Tristan Markwell Providence
David McSwain UNC Health
Prem Timsina Mt. Sinai
Matt Gill Mayo Clinic
Xiaoyu Miao Amazon
Chaitanya Shivade Amazon
Monica Agrawal Duke
Dev Dash Stanford
Omar Escontrias
National Health Council
Brigham Hyde Atropos Health
Samta Shukla
BCBS Minnesota
Gary Marchant
Arizona State University
Jim St. Clair
Mississippi AI Collaborative
Pramod Misra Unifi AI
Rebecca Gwilt Nixon Gwilt Law
Daniel Samarov
Twistle (Health Catalyst)
Shreya Shah Stanford
Troy Foster Stanford
Byron Yount Mercy
Ashish Atreja UC Davis
Tyler Rhoades Cleveland Clinic
Hooman Rashidi
College of American Pathologiest
Chris Matheson EBSCO
Erica Lesyshyn EBSCO
Tinglong Dai Johns Hopkins
Christine Swisher Oracle
Celena Wheeler Oracle​

We’ve done our best to choose a wide array of stakeholders from the health sector. However, we are still looking for the following stakeholder groups:

  • Medical device
  • Medtech
  • Pharmaceutical

If you think we are missing any pertinent stakeholders, please email us at [email protected]

Generative AI
Model Testing &
Evaluation Framework​

This workstream will provide input and guidance on how generative AI should be evaluated and tested with specific metrics and methodologies produced.​

CO-CHAIRS

Karandeep Singh
UC San Diego

Zack Lipton
Abridge

MEMBERS

ORGANIZATIONS

Dev Dash Stanford
Harsha Nori Microsoft
Bo Wang
University of Toronto
Roxana Daneshjou Stanford
Shalmali Joshi Columbia
Beau Norgeot Elevance
Kevin Pellerin CVS
RamRimal UNC
Dennis Shung Yale
Rachael A. Calcutt UC Davis
Paul Lukac UCLA
Jody Platt Michigan
Monica Agrawal Duke
Nandan Lad Duke
Rebecca Sartini
University of Arkansas for Medical Sciences
Chris Schubert CVS
Michelle Mello Stanford
Bernice Martin Lee
Epilepsy Foundation
Yindalon Aphinyanaphongs NYU Langone
Arlene Chung Google
Seth Krevat Medstar
Danielle Bitterman Mass Gen
Dax Dickensen AdventHealth
Timothy Miller
Boston Children’s
Jon McManus Sharp
Reza Ladchartabi Providence
Vivek Tomer Providence
Dennis Shung Yale
Daniel Yang
Kaiser Permanente
Vincent Liu
Kaiser Permanente
Eyal Klang Mt. Sinai
David Vidal Mayo
Alex Woody Amazon
Aparna Elangovan Amazon
Chuan Hong Duke
Kaeli Yuen VA
Henry Roberts FDA
Melanie Paris
American Kidney Fund
Liz Salmi Open Notes
Lincoln Abbott
Hartford Healthcare
Luca Foschini
Sage Bionetworks
Kevin Walker
Cedar Lake Health
Sam Warmuth Healthvana
Patricia Garcia Stanford
Carlene Lugtu Stanford
Byron Yount Mercy
Micah Seller Intel
Michael Bronley Cleveland Clinic
Jenny Litel CAP
Marzyeh Ghassemi MIT
RK Neelakandan Google
Ashley Beecy
New York Presbetaryian
Elliot Green Dandelion
Katie Eisenberg EBSCO
Pete Darcy EBSCO
Rebecca Laborde Oracle
Krishnaram Kenthapadi Oracle​

We’ve done our best to choose a wide array of stakeholders from the health sector. However, we are still looking for the following stakeholder groups:

  • Medical device
  • Medtech
  • Pharmaceutical

If you think we are missing any pertinent stakeholders, please email us at [email protected]

Predictive AI Model Life Cycle
Best Practices & Technical Implementation Guide​

This workstream will provide input on best practices and create technical guidance on predictive AI through use case examples. Work group members will share use cases to apply CHAI products and develop technical implementation guides.

CO-CHAIRS

Raj Ratwani
MEDSTAR

Han-Chin Ching
AWS

MEMBERS

ORGANIZATIONS

Laks Meyyappan CVS
Jay Nayar Google
Jessica Williams Google
Allan Fong Medstar
Sayon Dutta Mass Gen
Saad Alam AdventHealth
William La Cava
Boston Children’s
Jon McManus Sharp
Rachini Moosavi UNC Health
Tristan Markwell Providence
Daniella Meeker Yale
Matthew Solomon
Kaiser Permanente
Arasha Kia Mt. Sinai
Jason Adams UC Davis
Ricardo Henao Duke
Josh Mueller VA
Shawn Forrest FDA
Priya Desai Stanford
Mary Richards
Amputee Coalition
Enes Hosgor Gesund AI
Stephen Konya ONC
Keith Morse Stanford
RK Neelkandan Google
Pramod Misra Unifi AI
Colleen Houlahan Cleveland Clinic
Atul Kanvinde Shepard Center
Jansen Seheult
College of American Pathologists
Divya Chhabra Dosis
Nita Farahany Duke
Mozziyar Etemadi Northwestern
Christos Davatzikos Penn Medicine
Andrei Petrus Lucem Health
Dom Pimenta Tortus
Subbu Venkatraman Eko Health
Chris Mansi Viz AI
Jim Min Cleerly
James Leo MemorialCare
Elizabeth Johnson
Montana State University
Craig Norquist Honor Health
Demetri Giannikopoulos Aidoc
Laura Patton Oracle​

We’ve done our best to choose a wide array of stakeholders from the health sector. However, we are still looking for the following stakeholder groups:

  • Medical device
  • Medtech
  • Pharmaceutical

If you think we are missing any pertinent stakeholders, please email us at [email protected]

Predictive AI Model
Testing & Evaluation Framework

This workstream will provide input and guidance on how predictive AI should be evaluated and tested.

CO-CHAIRS

Sonya Makhni
Mayo Clinic Platform

Marzyeh Ghassemi
MIT

Geralyn Miller
Microsoft

MEMBERS

ORGANIZATIONS

Michelle Un CVS
Jessica Williams Google
Jessica Handley Medstar
Bernard Bizzo Mass Gen
Saad Alam AdventHealth
Benjamin Rader
Boston Children’s
Jon McManus Sharp
Ram Rimal UNC Health
Melissa Davis Yale
Girish Nadkarni Mt. Sinai
Naveen Raja UC Riverside
Rachel Tripp Mayo
Chaitanya Shivade Amazon
Olga Matlin Amazon
Chris Lindsell Duke
Kimberly McManus VA
Shawn Forrest FDA
Keith Morse Stanford
Amelia Sattler Stanford
[email protected] Unifi AI
Micah Seller Intel
Sarah Gebauer
RAND Corporation
Niels Olson
College of American Pathologists
Eric Henry
King and Spalding
Gary Weissman Penn Medicine
Walter Wiggins
Greensboro Radiology
Jon Ng Iterative Health
Andy Beck Path AI
Dereck Paul Glass Health
Daniel Nadler Open Evidence
Brett Moran Parkland
Demetri Giannikopoulos Aidoc
Kristyn Looney IU Health
Laura Patton Oracle
Stephen Pfohl Google
Tristan Naumann Microsoft
Erik Duhaime Centaur Labs
Kadija Ferryman Johns Hopkins​

We’ve done our best to choose a wide array of stakeholders from the health sector. However, we are still looking for the following stakeholder groups:

  • Medical device
  • Medtech
  • Pharmaceutical

If you think we are missing any pertinent stakeholders, please email us at [email protected]

Direct to Patient/Consumer
Use Case Practices & Guidance​

Rounded by various use cases, this workstream will help develop guidance and evaluation frameworks on AI solutions intended to be used directly by patients without a health care provider (HCP) involved; these solutions include direct-to-consumer applications, websites, portals and chat bots.

CO-CHAIRS

lily stairs
chronic boss collective

Joneigh Khaldun
CVS HEALTH

MEMBERS

ORGANIZATIONS

Julie Frahm
Sharp Healthcare
Ben Kaplan Mt. Sinai
Deepti Pandita UC Irvine
Jessilyn Dunn Duke
Charles Kim Amazon
Kyle Gotchy
King and Spalding
Hannah Arem Medstar
Michael Howell Google
Justin Fansler Yale
Katie Evans
Alzheimer’s Association
Joe Lindahl Mission MSA
Claire O’Hanlon
RAND Corporation
Liz Stokes
American Nurses Association
David Griffith
Deerfield Management
Dennis Sutterfield SUNY
Anita Mudiaga WellnessWits
Swatee Surve Litesprite
Matt Eisenberg Stanford
Ram Rimal UNC
Joshua Ohde Mayo
Raj Patel
Mass General Brigham
Matt Stanton Cleveland Clinic
Carolyn Glass
College of American Pathologists
Savintha Sangameswaran
Sage Bionetworks
Julia Colpitts EBSCO
Diane Hansen EBSCO​

We’ve done our best to choose a wide array of stakeholders from the health sector. However, we are still looking for the following stakeholder groups:

  • Medical device
  • Medtech
  • Pharmaceutical

If you think we are missing any pertinent stakeholders, please email us at [email protected]