People

Nicole Deiorio, MD

Associate Dean for Student Affairs

Virginia Commonwealth University School of Medicine

Dr. Nicole Deiorio is the Associate Dean for Student Affairs at Virginia Commonwealth University School of Medicine. Prior to that, she spent 20 years at Oregon Health and Science University, where she served as Clerkship Director, Associate Program Director, and Assistant Dean for Student Affairs. At VCU she runs the coaching program for undergraduate medical education. She co-chaired the 2018 American Medical Association Coaching Thematic Meeting and works with the Association of American Medical Colleges Core Entrustable Professional Activities group, particularly in the intersection of coaching and EPA attainment. Dr. Deiorio's research experience includes coaching, investigating the residency selection process, and outcomes in competency-based undergraduate medical education.

Maame Yaa A. B. Yiadom, MD, MPH, MSCI

Stanford University

Dr. Yiadom is an Associate Professor of Emergency Medicine at Stanford University and researcher with expertise in emergency care clinical operations and timely emergency care delivery. She was first trained in health care policy in Princeton University’s School of Public and International Affairs. She subsequently worked as a healthcare industry management consultant here in New York City for CSC Global Health Solutions Group, and was the Dean’s Office Chief of Staff at Drexel Medical School in Philadelphia. She completed her medical education at Robert Wood Johnson Medical School, a Masters in Public Health (MPH) at Harvard with additional health policy training from Johns Hopkins. She subsequently did residency at Mass General and Brigham and Women’s Hospitals’ Harvard affiliated program, and completed a Masters of Science in Clinical Investigation (MSCI) at Vanderbilt University.

Dr. Yiadom is the Principal Investigator for the Stanford Emergency Care Health Services Research Data Coordinating Center (HSR-DCC). Her research focuses on applications of evidence-based medicine to optimize clinical operations to target patient pathophysiology for time-sensitive conditions. STEMI is her prototype disease. Her group's primary methodologies include clinical practice epidemiology, workflow variability analysis, and clinically applied artificial intelligence. Current work includes refining clinical process, using informatics to support evidence-based practice, and performance measurement to identify real-world care improvement opportunities. Her research is supported by the National Heart Lung and Blood Institute (NHLBI), and ED Benchmarking Alliance

Mary Tanski, MD, MBA

Associate Professor and Chair

Oregon Health & Science University

Dr. Mary E. Tanski is currently associate professor and chair in the department of emergency medicine at Oregon Health & Science University (OHSU). She completed her undergraduate degree in business management and health and humanities at Michigan State University and earned her MD from Wayne State University. She completed her residency and was chief resident at George Washington University and then completed an emergency medicine administration fellowship and an MBA at OHSU. Dr. Tanski has been faculty in the department of emergency medicine management at OHSU and teaches the health care operations and quality course. She served as medical director of operations before becoming chair. Dr. Tanski has extensive experience in emergency department (ED) operations and quality improvement, including improving ED flow, instituting a no-divert trial, and addressing departmental boarding.

Brian W. Patterson, MD, MPH

BerbeeWalsh Department of Emergency Medicine, School of Medicine and Public Health, University of Wisconsin-Madison

Dr. Patterson is a tenured associate professor. He serves as Administrative Director for Clinical AI at UW Health and Medical Director for Predictive Analytics on the UW Health Informatics teams. In these roles, Dr. Patterson works with hospital leadership to define artificial intelligence (AI) strategy, governance, and development. He has led efforts to develop predictive analytics and machine learning algorithms, as well as large language model (LLM) tools that have improved patient care and provider well-being.

In addition to his administrative roles, Dr. Patterson runs an active research program within the Department of Emergency Medicine, where he directs the Emergency Care Systems Lab. His personal research interests are in clinical informatics and geriatric emergency medicine. Through his work, Dr. Patterson aims to generate actionable using routinely collected clinical data to improve the quality and safety of emergency care for older adults. To achieve these goals, Dr. Patterson works in collaboration with investigators across UW–Madison, including the Wisconsin School of Business, College of Engineering, and the Department of Biostatistics and Medical Informatics. His current work focuses on automated risk scoring to identify older adults at high risk for falling after emergency department visits and automating referral to interventions to prevent future falls.