Research in the Romsai Boonyasai Lab focuses on systems-based approaches for improving health care quality, including reducing harm during care transitions after hospital discharge and improving outcomes related to hypertension and other chronic diseases. We recently have focused on developing and evaluating practice-based tools for improving the accuracy of blood pressure measurement, overcoming clinical inertia to treatment, and engaging patients in self-management of their health.

Work in the Kristin Riekert Lab focuses on methods for improving health care quality and delivery, particularly among underserved and disadvantaged populations. Our research covers a range of important topics, including health beliefs, treatment adherence, doctor-patient communication, self-management interventions, mobile health initiatives, health disparities and patient-reported outcome methodology. We also work with the National Institutes of Health on multiple intervention trials focused on improving adherence and health outcomes in asthma, chronic kidney disease, cystic fibrosis (CF), sickle cell disease and secondhand smoke reduction.

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.

Research in the Hanan Aboumatar Lab focuses on advancing patient-centered outcomes through improved patient and family involvement. We also focus on multilevel methods to increase the patient-centered focus of care delivery. Recent research examined the impact of a quality-improvement intervention on patient involvement in primary care and treatment with respect and dignity in intensive care.

Dr. Stephen Berry’s research focuses on healthcare quality, safety and costs among persons living with HIV, both in the outpatient and inpatient settings. He conducts observational and interventional studies of sexually transmitted infection screening in HIV clinics, with a focus on improving performance to meet national guidelines. He leads observational studies of rates and reasons for hospitalizations and of 30-day readmission rates among HIV patients. He is conducting a randomized study of a nurse- and pharmacist-based team to reduce inpatient HIV medication errors and increase engagement in outpatient care among persons living with HIV who are hospitalized at The Johns Hopkins Hospital.

Researchers in the Henry Michtalik Lab are interested in patient safety—particularly as it relates to patient census statistics and acute to primary care transitions—and quality improvement and systems management.

Research in the Hadi Kharrazi Lab focuses primarily on contextualizing clinical decision support (CDS) into population health informatics (PHI) to be used at different HIT levels of managed care, including electronic health records (EHRs) and consumer health informatics (CHI) solutions. Our team has modified and regenerated electronic quality measures (eQM) based on PHI-derived CDS to represent a population aspect of the health quality measurements. Through the Center for Population Health IT (CPHIT) at the Bloomberg School of Public Health, we are pursuing PHI research that provides direct population-based CDS to providers, patients and payers.