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Artificial Intelligence and Healthcare – The Business, The Law, and The Ethics

Save the Date 2020
 

The Romance of Big Tech, Patient Data and AI: A Love Story for the Ages or Coming Crisis? Can Ethics Help the Relationship?

The promise of advanced cloud computing, advanced data analytics, machine learning and artificial intelligence in healthcare is immense, with an overflow of potential applications. Open the door for a revolution that is going to transform healthcare and, in so doing, has the potential to transform our bodies, and possibly even what it means to be human.

In order to achieve such goals, though, the machines need inputs – data from the real world that allows them to construct meaningful outputs, a.k.a., identifiable patient records. Is the tradeoff worth the loss of privacy? What safeguards should be put in place to prevent human biases from being embedded in AI machines?

Please save the date and be a part of our next conference centering on these questions and other topics in artificial intelligence and healthcare – the business, the law, and the ethics. CME available. #banderAI2020

Sincerely yours,
Jason D. Keune, M.D., MBA, FACS
Executive Director, The Bander Center, Saint Louis University School of Medicine

2019 AI Conference: The Perils and Promises of Artificial Intelligence in Healthcare and Business

The Current State and the Future of Artificial Intelligence in Healthcare

David Karandish

David Karandish is Co-founder/CEO of Capacity – an enterprise artificial intelligence SaaS company focused on helping people do their best work. Prior to starting Capacity, Karandish was the CEO of Answers Corporation. He and his business partner, Chris Sims, started the parent company of Answers in 2006 and sold it to a private equity firm in 2014 for north of $900m. Karandish sits on the boards of Varsity Tutors (an on-demand, real-time learning platform in the ed tech space), Create a Loop (a computer science education non-profit tackling the digital divide by teaching kids to code), and Prepare.ai (a non-profit providing educational resources and strategic guidance about Artificial Intelligence to individuals, communities, and companies).

Using Artificial Intelligence to Streamline the Workplace

Phillip Payne

Phillip Payne is the founding director of the Institute for Informatics (I2) at Washington University, where he also serves as the Robert J. Terry Professor and Professor of Computer Science and Engineering. He is an internationally recognized leader in the field of clinical research informatics (CRI) and translational bioinformatics (TBI). Payne received his Ph.D. with distinction in Biomedical Informatics from Columbia University, where his research focused on the use of knowledge engineering and human-computer interaction design principles to improve the efficiency of multi-site clinical and translational research programs. His leadership in the clinical research informatics community has been recognized through his appointment to numerous national steering, scientific, editorial and advisory committees, as well as his engagement as a consultant to academic health centers throughout the United States and the Institute of Medicine.

Precision Health: Faster Research, More Cures, Healthier Communities

Keith Perry

Keith Perry is the senior vice president and chief information officer for St. Jude Children’s Research Hospital. In this role, he oversees all aspects of delivering a technology strategy for clinical, research, and administration that aligns with the institutional mission to find cures and save children. Prior to St. Jude, he was associate vice president and deputy chief information officer at The University of Texas MD Anderson Cancer Center responsible for executive leadership for a portfolio of information services that support the institutional mission to eliminate the burden of cancer. Perry completed his Bachelor of Science in computer science at Harding University and Master’s in Business Administration from the University of Houston. Perry has obtained the Certified Healthcare Chief Information Officer (CHCIO) designation through the College of Healthcare Information Management Executive (CHIME) organization. He is also a member of Healthcare Information and Management Systems Society (HIMSS) and a board member of the Greater Memphis IT Council.

AI: Opportunities With a Hint of Skepticism

Komla M. Ahlijah

Komla Ahlijah is a Data Science and Analytics Manager at Centene Corporation. He leads the team of scientists and statisticians responsible for all data-driven research and development initiatives i.e., Predictive Modeling, Machine Learning, Deep Learning, and Artificial Intelligence. Born in Togo, West Africa, Ahlijah moved to the U.S. to further his education. He holds a Master’s degree in Applied Mathematics from the University of Nebraska and has over 16 years of experience in Data Analysis and Statistical Modeling. In addition to English, Ahlijah is fluent in French and his native Mina language. A family man, he is married and is a proud father to two wonderful little girls. He is the co-chairman of Toysfortogo.org, a St Louis based not-for-profit organization dedicated to providing a healthy childhood experience to needy children and at-risk youth in Togo (West Africa).

Real Time Artificial Intelligence Algorithm in Healthcare: Benefits and Risks

The Legal Framework for AI and Healthcare

W. Nicholson Price, II

Nicholson Price is a Professor of Law at the University of Michigan Law School. Previously, he taught law at the University of New Hampshire. He holds a Ph.D. in Biological Sciences and a JD, both from Columbia, and an AB from Harvard. He clerked for Judge Carlos T. Bea on the Ninth Circuit and was an Academic Fellow at the Petrie-Flom Center for Health Law Policy, Biotechnology, and Bioethics at Harvard. Nicholson teaches and studies life science innovation, including big data and artificial intelligence in medicine. His work has appeared in Nature, Science, Nature Biotechnology, the Michigan Law Review, and elsewhere. Nicholson is Co-founder of Regulation and Innovation in the Biosciences; co-chair of the Junior IP Scholars Association; co-PI of the Project on Precision Medicine, Artificial Intelligence, and the Law; and a Core Partner at the University of Copenhagen’s Center for Advanced Studies in Biomedical Innovation Law.

Claudia E. Haupt

Claudia Haupt is an Associate Professor of Law and Political Science at Northeastern University. Her current research is situated at the intersection of professional regulation, the First Amendment, health law, and law and technology. Prior to joining Northeastern in 2018, Haupt was a resident fellow with the Information Society Project at Yale Law School, where she continues to be an affiliate fellow, and a research fellow with the Solomon Center for Health Law and Policy at Yale Law School. She has also held an appointment as associate-in-law at Columbia Law School. Before entering academia, Haupt practiced law in Cologne, Germany, with a focus on information technology law. She is admitted to practice in Germany and New York. She holds a Ph.D. in political science from the University of Cologne, a JSD from Columbia Law School, and her first law degree from the University of Cologne.

Artificial Professional Advice

Ana Santos Rutschman

Ana Santos Rutschman is an assistant professor of law at Saint Louis University. She teaches and writes in the areas of health law, intellectual property, innovation in the life sciences, and law and technology. Rutschman has published and presented widely on topics related to emerging biotechnologies, biobanking, artificial intelligence, and e-health. In 2015-16, she consulted for the World Health Organization on the development of the Ebola and Zika vaccines. In 2017, she was named a Bio IP Scholar by the American Society of Law, Medicine & Ethics, and in 2018 she was named a Health Law Scholar by the same institution.

The Ethics of Artificial Intelligence in Healthcare

Melanie Mitchell

Melanie Mitchell is a Professor of Computer Science at Portland State University and External Professor and Co-Chair of the Science Board at the Santa Fe Institute. She attended Brown University, where she majored in mathematics and did research in astronomy, and the University of Michigan, where she received a Ph.D. in computer science. Her dissertation, in collaboration with her advisor Douglas Hofstadter, was the development of Copycat, a computer program that makes analogies. Mitchell is the author or editor of six books and numerous scholarly papers in the fields of artificial intelligence, cognitive science, and complex systems. Her book Complexity: A Guided Tour (Oxford University Press) won the 2010 Phi Beta Kappa Science Book Award and was named by Amazon.com as one of the ten best science books of 2009. Mitchell’s latest book, Artificial Intelligence: A Guide for Thinking Humans, will be published by Farrar, Straus, and Giroux in October 2019.

Prospects for Machines with Common Sense

Jeffrey P. Bishop

Jeffrey P. Bishop is a social and moral philosopher. His scholarly work is focused on the historical, political, and philosophical conditions that underpin contemporary medical and scientific practices and theories. His interests are diverse, with publications in medical journals, philosophical journals, theological journals, and medical humanities journals. Bishop has also written on diverse topics from transhumanism and enhancement technologies to clinical ethics consultation and medical humanities. Bishop's book, The Anticipatory Corpse, explores the way that anatomical ideas about the body shape and inform the care of the dying from ICU care to palliative care. He is currently working on a book on the philosophy of technology and the ways that our thinking about machines shapes how we think about the care of the human body.

James DuBois and Alison L. Antes  

James DuBois is the Steven J. Bander Professor of Medical Ethics and Professionalism, Professor of Psychology and Professor of Medicine, as well as the Director of the Center for Clinical and Research Ethics at Washington University School of Medicine in the Division of General Medical Sciences. He is an Adjunct Professor in the Albert Gnaegi Center for Health Care Ethics at Saint Louis University, where he was the inaugural Hubert Mäder Professor of Healthcare Ethics and Director of the Bander Center for Medical Business Ethics. DuBois completed his Ph.D. in philosophy at the International Academy of Philosophy in Liechtenstein and his DSc in psychology at the University of Vienna in Austria, focusing on cross-cultural moral psychology. He directs the NIH-funded Professionalism and Integrity Program (PI Program), which offers personalized assessments, a group workshop, and post-workshop coaching calls to help researchers operate professionally in today’s complex environments. He is a Board Certified Coach (BCC) specialized in career coaching for researchers. DuBois directs the Professional and Social Issues Lab within the Department of Medicine, which conducts social science research aimed at understanding barriers and facilitators to research integrity and professionalism.

Alison L. Antes is an Assistant Professor in the Division of General Medical Sciences at Washington University School of Medicine, where she conducts research and directs educational programs in the Bioethics Research Center. She is an organizational psychologist who focuses on ethical behavior and leadership among healthcare professionals and researchers. Antes’ research focuses on understanding the individual, situational, and organizational factors that foster or undermine ethical practices and ethical decision-making.

Creating Space for AI in Healthcare: How Patients Weigh the Trade-offs