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.
CHAIR
Rebecca Mishuris
Mass. General
INITIAL MEMBERS
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 |
| Kim Nolen | Pfizer |
| Dinh Nguyen |
Kaiser Permanente
|
| Lisa Lehmann | Harvard |
| Chris Schubert | CVS |
| 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 |
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
INITIAL MEMBERS
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 |
| 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 |
| 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 |
| Ashley Beecy |
New York Presbyterian
|
| Elliot Green | Dandelion |
| Katie Eisenberg | EBSCO |
| Pete Darcy | EBSCO |
| Rebecca Laborde | Oracle |
| Krishnaram Kenthapadi | Oracle |
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
INITIAL MEMBERS
MEMBERS
ORGANIZATIONS
| Laks Meyyappan | CVS |
| 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 |
| Priya Desai | Stanford |
| Mary Richards |
Amputee Coalition
|
| Enes Hosgor | Gesund AI |
| Stephen Konya | ONC |
| Keith Morse | Stanford |
| 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 |
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
INITIAL MEMBERS
MEMBERS
ORGANIZATIONS
| Michelle Un | CVS |
| 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 |
| 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 |
| Tristan Naumann | Microsoft |
| Erik Duhaime | Centaur Labs |
| Kadija Ferryman | Johns Hopkins |
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
INITIAL MEMBERS
MEMBERS
ORGANIZATIONS
| Julie Frahm |
Sharp Healthcare
|
| Ben Kaplan | Mt. Sinai |
| Deepti Pandita | UC Irvine |
| Charles Kim | Amazon |
| Kyle Gotchy |
King and Spalding
|
| Hannah Arem | Medstar |
| 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 |
