Hilal Maradit Kremers, M.D., studies the epidemiology and outcomes of musculoskeletal diseases, injuries and procedures, such as hip and knee replacements, using mainly clinical information collected during routine medical care. This data is typically collected using the electronic medical records and the resources of the Mayo Clinic Total Joint Registry and the Rochester Epidemiology Project. The data collected from these data sources are analyzed using epidemiological or statistical techniques.
Dr. Maradit Kremers also teaches and mentors in pharmacoepidemiology. She facilitated the integration of historical electronic prescription records into the Rochester Epidemiology Project, which is a unique medical records linkage system in the U.S. This effort enhanced the infrastructure for studies on the risks, benefits, effectiveness and economic impact of prescription drug use.
- Safety of hip and knee replacement implants. There are concerns about the long-term safety of hip and knee implants in part due to systemic distribution of metal debris from the implants. Dr. Maradit Kremers is working to understand the potential risk of cognitive decline and heart failure in recipients of hip and knee replacements.
- Artificial intelligence research in orthopedics. Dr. Maradit Kremers uses natural language processing and machine learning technologies for automated data abstraction from unstructured electronic health records and for computer-aided classification of hip and knee replacement radiographs.
- Determinants of clinical outcomes and costs in total joint arthroplasty. Using the resources of the Mayo Clinic Total Joint Registry, Dr. Maradit Kremers examines how clinical heterogeneity, implant and patient characteristics are associated with better or worse outcomes and costs in recipients of total knee and hip replacements.
Significance to patient care
Dr. Maradit Kremers' research into the long-term safety of total joint replacement implants and determinants of clinical outcomes will help enhance delivery of effective musculoskeletal care and improve outcomes for patients. Her artificial intelligence work will enhance use of electronic medical records in orthopedics research and transform radiographic imaging practice.