Introduction to Clinical Data

Dr. David Magnus serves as the Thomas A. Raffin Professor of Medicine and Biomedical Ethics, as well as a Professor of Pediatrics and Medicine, with a courtesy appointment in Bioengineering at Stanford University. He is the Director of the Stanford Center for Biomedical Ethics and has an influential role as a member of the Stanford Hospital and Clinics Ethics Committee. A past President of the Association of Bioethics Program Directors, he also serves as the Editor-in-Chief of the American Journal of Bioethics and currently holds the position of Vice-Chair of the Institutional Review Board (IRB) for the NIH Precision Medicine Initiative, known as “All of Us.” His extensive experience includes membership on Stanford’s IRB and Stem Cell Research Oversight Committee, along with a strong background as a research ethics consultant. Dr. Magnus's research encompasses a diverse array of topics in bioethics, such as research ethics, comparative effectiveness research ethics, transplant ethics, genetics and genomics, as well as patient-physician communication.

Dr. Nigam Shah is an esteemed Associate Professor of Medicine specializing in Biomedical Informatics at Stanford University, where he also serves as the Associate Chief Information Officer for Data Science at Stanford Health Care. His research focuses on integrating machine learning with medical ontologies to create a learning health system that enhances clinical decision-making and patient care. Dr. Shah has been recognized for his contributions to the field, being elected to the American College of Medical Informatics in 2015 and inducted into the American Society for Clinical Investigation in 2016. He holds an MBBS from Baroda Medical College in India, a PhD from Penn State University, and completed postdoctoral training at Stanford. With over 200 scientific publications and multiple patents to his name, Dr. Shah is at the forefront of advancing AI technologies in healthcare, striving to implement them ethically and effectively within clinical settings. His work not only addresses critical healthcare challenges but also aims to democratize medical knowledge through innovative data science applications.

Dr. Steven C. Bagley is a senior research engineer in the Biomedical Informatics Research division at Stanford University's Department of Medicine. He holds a Bachelor of Science in Systems Science and Engineering from the University of Pennsylvania, a Master of Science in Electrical Engineering and Computer Science from MIT, and a Doctor of Medicine from the University of California, San Diego. With a robust background in both medicine and engineering, Dr. Bagley specializes in leveraging data and technology to enhance clinical care delivery. His work focuses on integrating advanced informatics solutions to improve patient outcomes and streamline healthcare processes. Through his research and contributions to the field, Dr. Bagley plays a vital role in advancing biomedical informatics, making significant strides in how healthcare systems utilize data to inform decision-making and improve patient care.