Research in the Cheryl Dennison Lab aims to improve cardiovascular care for high-risk groups through multidisciplinary and health information technology-based methods. Our studies focus on reducing system and provider obstacles to implementing cardiovascular guidelines in various health care environments. Additional research interests include chronic illness management, quality of care, interdisciplinary teamwork and provider behavior.

Research in the Zishan Siddiqui Lab focuses on patient-centered care and satisfaction, preoperative medicine and clinical reasoning. We are also interested in international medicine. In a previous collaboration with Daniel Brotman, M.D., we discovered that hospital renovations do not improve patient satisfaction.

Research in the Lilly Engineer Lab examines the quality and safety of medical care, with a focus on rural and underserved communities. Our current research evaluates methods for improving immunization rates among inner-city populations of school-aged children. We are also exploring the effect of federal policy changes and health care market forces on rural hospitals in the United States.

The Mathioudakis lab is focused on developing and evaluating clinical decision support systems, technology, and mHealth for diabetes prevention and management. Our lab leverages large electronic medical record databases and uses machine learning algorithms and artificial intelligence to identify patterns in clinical care associated with optimal clinical outcomes. We are interested in understanding the role that advanced diabetes technologies can play in improving health outcomes for patients with diabetes. Our lab has published extensively on outcomes related to diabetes prevention and diabetes management and outcomes. Based on data from our long-term (over 10 year) clinic-based prospective cohort study from the Johns Hopkins Multidisciplinary Diabetic Foot and Wound Clinic, we have published extensively on clinical predictors and outcomes of patients with diabetic foot ulcers, focusing specifically on the role that glycemic control plays in patients with this complication. Healthcare disparities exist throughout medicine, but are particularly prominent in diabetes; our lab has evaluated healthcare inequities in diabetes outcomes and is developing and evaluating strategies to overcome them. In addition to identify optimal management approach to diabetes and its complications, our lab is interested in development and evaluation of innovative technology approaches to diabetes prevention.

Directed by Debraj “Raj” Mukherjee, MD, MPH, the laboratory focuses on improving access to care, reducing disparities, maximizing surgical outcomes, and optimizing quality of life for patients with brain and skull base tumors.

The laboratory achieves these aims by creating and analyzing institutional and national databases, developing and validating novel patient-centered quality of life instruments, leveraging machine learning and artificial intelligence platforms to risk-stratify vulnerable patient populations, and designing novel surgical trials to push the boundaries of neurosurgical innovation.

Our research also investigates novel approaches to improve neurosurgical medical education including studying the utility of video-based surgical coaching and the design of new operative instrumentation.