AIMI Research Meeting: AI Alone Will Not Reduce the Administrative Burden of Health Care - Kevin Schulman, MD

Abstract: Administrative costs are a significant component of health care costs in the US market. Recent estimates suggest that administrative costs are approaching $1 Trillion annually, with $250 billion of that spending described as “waste.” Administrative costs are an area where AI has been proposed frequently as a potential solution. In this talk, we’ll examine the question of whether AI can truly achieve this goal, or do we need to address more fundamental issues in the market before AI can achieve its full potential as a solution.

About: Dr. Schulman is a Professor of Medicine, Clinical Excellence Research Center (CERC) at the Stanford University School of Medicine, and, by courtesy, Professor of Operations, Information and Technology at Stanford’s Graduate School of Business. He is the Faculty Director of Stanford’s new applied master degree program, the Master of Science in Clinical Informatics Management program. Dr. Schulman is a health economist/health services researcher working at the intersection of business, medicine and technology. With over 500 publications, he has had a broad impact on several areas of health policy (h-index=80 ). His research has appeared in the New England Journal of Medicine, the Journal of the American Medical Association, and Health Affairs. He is the editor-in-chief of Health Management, Policy and Innovation (www.HMPI.Org), and Senior Associate Editor of Health Service Research (HSR). He is a graduate of Dartmouth College, the New York University School of Medicine, and The Wharton Health Care Management Program.

Attendance is open to the Stanford community. If you would like to attend in-person or on Zoom, please contact the AIMI Center at aimicenter@stanford.edu.