Speaker:

• Sindy Escobar Alvarez, PhD, Program Director for Medical Research, Doris Duke Foundation

To understand the historical context for the misapplication of race in clinical algorithms and the shift away from using race as a biologic construct, using the example of spirometry to illustrate the broader issues. 

Speaker:

• Aaron Baugh, MD, University of California, San Francisco

Speaker

• Michael McGinnis, MD, Executive Director, National Academy of Medicine

Speaker:

• Helen Burstin, MD, MPH, MACP, Chief Executive Officer, Council of Medical Specialty Societies (CMSS)

To learn from recent examples about how race has been used in clinical algorithms across medicine, different approaches to study and address their impact on disease diagnosis and treatment, and collaborative opportunities with research to revisit inclusion of race as a biologic construct in clinical guidance. 

Moderator: Shazia Siddique, MD, MSHP, Assistant Professor of Medicine, University of Pennsylvania

Panelists:

• Joseph Wright, MD, MPH, FAAP, Chief Health Equity Office and Senior Vice President, American Academy of Pediatrics
• Sadiya Khan, MD, MsC, Magerstadt Professor of Cardiovascular Epidemiology, Northwestern Feinberg School of Medicine
• Sherri-Ann Burnett-Bowie, MD, MPH, Massachusetts General Hospital. Case study on the FRAX Algorithm task force

To learn from leaders in the artificial intelligence and machine learning community on current efforts to mitigate potential harm from algorithms to marginalized communities. Panelists will discuss strategies to assess, leverage, and deploy fairness and transparency assessment to drive equity.

Moderator: Kameron Matthews, MD, JD, FAAFP, Chief Health Officer, Cityblock Health

Panelists:

• Tina Hernandez-Boussard, MD, Associate Dean of Research and Associate Professor of Biomedical Informatics, Stanford University
• Brian Anderson, MD, Chief Executive Officer, Coalition for Health AI
• Shyam Visweswaran, MD, PhD. Vice-Chair of Clinical Informatics and the Director of the Center for Clinical Artificial Intelligence

As researchers, clinicians, funders, publishers, and other groups review and revise algorithms, it will be essential to effectively communicate and engage others in this work. In this session, participants will be asked to share insights from previous experiences, learn from one another, identify effective strategies to discuss this work and increase engagement across sectors.

Facilitators:

• Michelle Morse, MD, Chief Medical Officer and Deputy Commissioner for Center for Health Equity and Community Wellness, New York City Department of Health and Mental Hygiene
• Georges Benjamin, MD, Executive Director, American Public Health Association (APHA)

To address the inappropriate use of race from clinical guidelines and algorithms, clear guidance on the use of race as a biologic construct in research and publishing is required. This upstream guidance should support the downstream changes required in clinical guidelines and algorithms to prevent patient harm. In this session, participants will share experiences with updating guidelines and algorithms; discuss strategies to foster collaboration across the clinical and research communities; learn from existing collaborative efforts across specialty societies, research, and publishing; and support next steps to generate guidance on the use of race. 

Facilitators:

• Maureen Achebe, MD, MPH, Associate Professor of Medicine, Harvard Medical School, Clinical Director, Non-Malignant Hematology Clinic, Director, Brigham and Women's Hospital Sickle Cell Program 
• Christine Laine, MD, MPH, Editor in Chief & Senior Vice President, Annals of Internal Medicine, American College of Physicians

While technology could potentially worsen inequities, AI and related technologies could support efforts to assess and remove the inappropriate use of race in clinical algorithms. In this session, participants will explore how emerging and established technologies can be implemented to improve health equity and mitigate harm, discuss the role of AI evaluation and regulations on equity, and strategies to support collaboration between the AI community with the clinical and research communities. 

Facilitators:

• Daniel Yang, MD, Vice President of Artificial Intelligence and Emerging Technologies, Kaiser Permanente 
• Mark Sendak, MD, MPP, Co-Lead for Health AI Partnership, Duke Institute for Health Innovation; Health AI Partnership

In this moderated conversation, research leaders from the National Institutes of Health and the Veterans Health Administration will engage in an informal dialogue about how the research and clinical communities need to build trust to embrace the shift away from the use of race as a biologic construct in clinical algorithms, expand data sets to assess social drivers, and build linkages between research, clinical practice, and system-level implementation.

Moderator: Cynthia Delgado, MD, Professor, University of California San Francisco Department of Medicine

Speaker:

• Janine Austin Clayton, MD, Director of the Office of Research on Women's Health, National Institutes of Health
• Carolyn Clancy, MD, MACP, Deputy Undersecretary for Health, U.S. Department of Veterans Affairs

Speakers:

• Helen Burstin, MD, MPH, MACP, Chief Executive Officer, Council of Medical Specialty Societies (CMSS)
• Maurine Knighton, Chief Program Officer, Doris Duke Foundation