Albert Chan, M.D., M.S., serves as Chief of Digital Patient Experience, leading digital transformation efforts at Sutter Health.  Dr. Chan leads an omni-channel digital patient engagement and virtual care strategy including imagining the future of patient experience powered by digital and establishing the clinical workflows and operational infrastructure that enable digital transformation at scale.  He has led Sutter’s implementation of telehealth, empowering over 4600 clinicians in 4 weeks who are now performing 6000-7000 video visits per day.  As executive pacesetter of Sutter’s patient access initiatives, Dr. Chan is leading the modernization of its scheduling practices and navigation of healthcare services including the Patient Centered Scheduling initiative, unifying Sutter’s clinicians in common scheduling standards to improve access and portability across the integrated delivery network, and  launch of an artificial intelligence (AI) powered symptom checker to provide automated care navigation.  He has received numerous honors including the Epic PAC Academy Award awarded annually by the Epic electronic health record community, international recognition as a Fulbright Specialist and a 2017 Eisenhower Fellow, one of 20 U.S. citizens chosen for membership into a global network of leaders for change, and most recently named Becker’s 105 Physician Leaders to Know in 2019.  Dr. Chan continues to be invigorated by his patients as a primary care physician, inspiring the development and translation of innovative partnerships into practice.   His presentation at AMIA CIC is based on work published in JAMA Network Open in December 2019.

Dr. Chan earned a B.S. in Biological Sciences with Honors from Stanford and M.D. from the University of California, San Diego. After completing residency and chief residency in family medicine, Albert concurrently completed fellowships in Biomedical Informatics at Stanford and family medicine research at the University of California, San Francisco. Dr. Chan is an adjunct professor at the Stanford Center for Biomedical Informatics Research.