Sara Singer, PhD, MBA, is a professor of health policy at the Stanford University School of Medicine and Professor by courtesy at the Stanford Graduate School of Business. She is the faculty director of the Health Leadership, Innovation, and Organizations (HELIO) Labs, which fosters interdisciplinary collaboration among colleagues from across the University, including Stanford Health Care and the Schools of Medicine, Business, Engineering, Design, Sustainability, Law, and Humanities and Sciences — and across the globe.

Singer's research in the field of health care management and policy is informed by her interdisciplinary training in health policy, organizational behavior, and general management. Using innovative mixed methods and organizational theories, she studies health-care teams and organizations to understand how leaders and policymakers can improve the safety and quality of health-care delivery through changes in institutional culture, leadership, organizational design, and team dynamics. Her research program is built around central challenges in health-care delivery (ensuring patient safety despite enormous complexity and uncertainty in diagnosis, treatment, and disease progression; integrating increasingly fragmented services across multiple service providers and organizations; and implementing, adapting, and sustaining innovations that enhance the value of health care), where my research suggests that learning- and systems-oriented leaders and teams and supportive organizational cultures are critical factors for creating a high performing health care delivery system.

Mary K. Goldstein is a Professor of Health Policy and a core faculty member at the Department of Health Policy and the Center for Health Policy, and the Director of the Geriatrics Research Education and Clinical Center (GRECC) at the VA Palo Alto Health Care System. She directs the Primary Care Policy and Practice Advancement program at PCOR, the Stanford/VA Palo Alto Geriatric Medicine Fellowship Program, and the Special Fellowship Program in Advanced Geriatrics at VA Palo Alto. She also serves as associate director for the Physician Post-Residency Fellowship Program in Health Services Research and Development, and for the Postdoctoral Fellowship in Medical Informatics, both at VA Palo Alto Health Care System.

Goldstein studies innovative methods of implementing evidence-based clinical practice guidelines for quality improvement. She leads the ATHENA Decision Support System project that has developed and implemented an automated clinical decision support system for primary care clinicians, using hypertension as a model, and now extended into several other clinical domains.  Goldstein's research also explores older adults' health preferences (health utility) for application to cost-effectiveness analysis.

Goldstein is a fellow of the American Geriatrics Society, and an emerita of the Society's board of directors. Goldstein has received a number of honors and awards including an Advanced Career Development award from the Department of Veterans Affairs Health Services Research and Development (HSR&D) program.  She received a BA in philosophy and an MD, both from Columbia University, and completed her residency in family medicine at Duke University Medical Center. At the Stanford School of Medicine she completed an AHRQ-funded fellowship and an MS in health services research.

Professor Efron is a member of the National Academy of Sciences, president of the American Statistical Association, recipient of the MacArthur Prize, and winner of the Wilks Medal of the American Statistical Association. Professor Efron is renowned internationally for his pioneering work in computationally intensive statistical methods that substitute computer power for mathematical formulas, particularly the bootstrap method. The goal of this research is to extend statistical methodology in ways that make analysis more realistic and applicable for complicated problems. He consults actively in the application of statistical analyses to a wide array of health care evaluations.