Emergency Medicine
Center for EM Data Analytics and Reporting (CEDAR)

Faculty in our Department have long explored the intersection of Emergency Medicine, information technology, healthcare informatics, and data analysis. In 2026, the University of Maryland School of Medicine (UMSOM) officially recognized the Center for Emergency Medicine Data Analytics and Reporting (CEDAR) as an interdisciplinary center within our Department.

Led by Associate Professor Mark Sutherland, MD, CEDAR integrates the breadth of our clinical operations, research, education, and revenue cycle activities across a single governed infrastructure, allowing our clinical leaders to make patient-centered, data-driven decisions when it matters most.

Research

CEDAR faculty have published peer-reviewed studies in publications including

  • JAMA Network Open;
  • Annals of Emergency Medicine;
  • Western Journal of Emergency Medicine;
  • Infection Control and Hospital Epidemiology; and
  • Academic Medicine, among others.

Our faculty have also engaged in conversations at medical conferences, including those hosted by the American Medical Informatics Association, as well as the American Association of Medical Colleges’ Information Technology in Academic Medicine.

CEDAR also enhances research and innovation capabilities across UMSOM. Its curated data warehouses, streamlined processes for clinical feasibility and hypothesis generation, and readiness for governed Artificial Intelligence/Machine Learning pilots make it a powerful platform for accelerating multidisciplinary research.

Education and Training

Drawing on our data resources, CEDAR supports the Department’s initiatives to educate and train learners in Emergency Medicine—and a range of other medical specialties.

We partner with lecturers to leverage our data sets to inform and enhance conference talks. We also provide context to clinical faculty and our partners throughout the University of Maryland Medical System (UMMS)—providing data-driven insights to guide clinical decisions physicians encounter every day.

In turn, our work to manage, interpret, and analyze data helps physicians choose what procedures to prioritize in complex situations, how to best intubate sick patients according to their condition, or what treatment options to take in a cardiac arrest, among others. By enhancing clinical decision making, CEDAR improves patient outcomes.

CEDAR faculty continue to explore educational offerings for medical students, residents, and fellows throughout the University of Maryland School of Medicine and UMMS. If you are interested in training with our faculty, please contact CEDAR Director Mark Sutherland, MD.

Patient Care

Learning from past patient experiences—and improving the future of clinical care—is at the heart of CEDAR’s data-driven mission. CEDAR hosts a rich dataset compromised of over 4.6 million encounters from our Department’s clinical sites. This data, which fully protects the health information of all patients, includes demographic, diagnostic, therapeutic, outcome, and other metadata for research and review. 

Our CEDAR faculty are experts in managing this and other datasets and engineering processes to interpret and analyze medical trends.

Division Faculty