Innovations in Precision Emergency Medicine
Research is ongoing at Stanford Department of Emergency Medicine. Select projects are highlighted below, but we invite you to also explore our library of recently-published studies on topics ranging from clinical care to education to physician wellness.
Precision Emergency Medicine
Stanford is leading research efforts to transform health care for all through Precision EM.
Precision Emergency Medicine utilizes information and technology to effectively, efficiently, and authentically deliver acute care for our individual patients and our communities.
Precision EM is a new model for patient care that takes into account differences in the environment, lifestyle, and genes, and through data science and technology, enables health care providers to increase the variables that factor into care pathways and treatment decisions. More
Informatics and Precision Emergency Medicine
The ED Data Analytics Committee is using informatics and machine learning to conduct research, monitor care quality, and employ artificial intelligence and machine learning. More
COVID Antibodies & Testing
Andra Blomkalns, MD, MBA led rapid efforts to overcome hurdles in the first weeks of the pandemic led to the creation of one of the first COVID-19 biobanks in the country at an academic institution. More
Sam Yang, MD is developing new technology to rapidly diagnose and treat sepsis. More
Apps and Digital Interventions
Brian Suffoletto, MD explores how mobile health interventions like text messages, phone apps and wearable devices can transform disease prevention and treatment options. More
Education & Learning
Dr. Michael Gisondi, Vice Chair of Education leads the Precision Education and Assessment Research Lab (PEARL), focused on defining precision in medical education by studying the best ways to individualize training for physicians. More
Traumatic Brain Injury
Dr. Angela Lumba-Brown, Research Director for Stanford Concussion and Brain Performance Center, is establishing evidence-based classification for traumatic brain injury, and modeling post-injury trajectories and treatments. More
Stanford Emergency Medicine International uses advances in online learning platforms to provide COVID-19 training to healthcare workers in low-to-middle income countries. More
Prasanthi Govindarajan, MD is using a multi-year Research Project grant from the Department of Health and Human Services Agency for Healthcare Research and Quality to study the effect of state- and county-level stroke center bypass policies on patient outcomes. More
Predicting Myocardial Injury
David Kim, MD’s automated deep-learning approach uses continuous bedside monitor data from early in a patient’s presentation to predict myocardial injury. More
Reimagining EM Residency
The AMA is providing $1.25M over five years to Holly Caretta-Weyer, MD and Stanford Department of Emergency Medicine as part of their Reimagining Residency program aimed at promoting systemic change in emergency medicine training. More