Executives share vision for role of AI and machine learning in improving health disparities

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Download E-book from Top of Mind Exchange virtual roundtable, which captures key discussion points from senior leaders in health care data science and artificial intelligence

The Center for Connected Medicine hosted an invitation-only, virtual roundtable discussion for senior leaders in health care to raise needs, share progress, and partake in candid conversation on the ability of AI and machine learning to improve health disparities.

The virtual roundtable, “Top of Mind Exchange: AI/ML and Structural Bias in Health Care,” was held November 17, 2020. Robert M. Califf, MD, Head of Clinical Policy and Strategy for Verily and Google Health, delivered opening remarks and facilitated this important and timely conversation.

“We’re starting with an uneven playing field in the U.S. that greatly advantages people who have money and education and preferentially advantages white people and in which rural people are at a
tremendous disadvantage,” Dr. Califf said. “So, the question for us is, are we going to build algorithms that correct this or are we going to further segment the population?”

Participants in Top of Mind Exchange: AI

  • Derek Angus, MD, Chief Healthcare Innovation Officer, UPMC
  • Robert M. Califf, MD, Head of Clinical Policy and Strategy, Verily and Google Health
  • Leo Anthony Celi, MD, Principal Research Scientist, MIT Institute for Medical Engineering and Science, Massachusetts Institute of Technology
  • Judy Wawira Gichoya, MD, Assistant Professor, Department of Radiology, Emory University School of Medicine
  • Erich S. Huang, MD, PhD, Director, Duke Forge
  • Yubin Kim, PhD, Technology Director, UPMC Enterprises
  • Pamela Peele, PhD, Chief Analytics Officer, UPMC Health Plan and UPMC Enterprises
  • Eliseo J. Pérez-Stable, MD, Director of the National Institute on Minority Health and Health Disparities, National Institutes of Health
  • Neil Powe, MD, Chief of Medicine, Zuckerberg San Francisco General Hospital, Constance B. Wofsy Distinguished Professor, University of California San Francisco
  • Hojjat Salmasian, MD, PhD, Medical Director of Data Science and Analytics, Brigham and Women’s Hospital, Instructor of Medicine, Harvard Medical School
  • Suchi Saria, PhD, CEO, Bayesian Health, and John C. Malone Associate Professor of Engineering and Public Health, Johns Hopkins University

E-book captures 8 key takeaways

Following Dr. Califf’s opening remarks, the roundtable participants focused on three primary discussion topics. Those topics were:

  • Structural bias in health care
  • AI, machine learning, and health disparities
  • Imperatives for leaders

In addition to the high-level summaries of those discussion topics, the E-book also captures eight next steps and points of importance shared by roundtable participants.

See more AI resources from the CCM

Learn more about the CCM’s Top of Mind program

The Top of Mind 2021 program focused on telehealth, artificial intelligence and revenue cycle management in the era of COVID-19 through a research report, webinar, and virtual summit.

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