The research of Hilal Maradit Kremers, M.D., involves the epidemiology and outcomes of musculoskeletal problems and procedures. She uses clinical information collected during routine medical care such as in electronic health records and joint replacement registries.
Dr. Maradit Kremers applies natural language processing techniques to find medical concepts from the unstructured text of medical records. She develops computer vision technologies for automated interpretation of musculoskeletal images for diagnostic and prognostic purposes. Dr. Maradit Kremers is the principal investigator on several National Institutes of Health-funded projects and is the collaborating epidemiologist on others.
Dr. Maradit Kremers is the methodology core director of the American Joint Replacement Research-Collaborative (AJRR-C) at Mayo Clinic. The AJRR-C is funded by the National Institute of Arthritis and Musculoskeletal and Skin Diseases. The collaboration provides access to state-of-the-art methodological expertise, education and big data resources to accelerate methodologically rigorous clinical research. This research directly improves the care and outcomes of individuals undergoing hip and knee replacements.
- Safety of hip and knee replacement implants. There are concerns about the long-term safety of hip and knee implants, in part due to metal debris from the implants. Dr. Maradit Kremers studies the potential risk of cognitive decline and heart failure in patients with hip and knee replacements.
- Artificial intelligence research in orthopedics. Dr. Maradit Kremers uses natural language processing and machine learning methods for automated data abstraction.
- Determinants of clinical outcomes and costs in total joint arthroplasty. Using the resources of the Mayo Clinic Total Joint Registry, Dr. Maradit Kremers studies the outcomes of people with total knee and hip replacements. She researches how clinical diversity affects the results and costs in total knee and hip replacements.
Significance to patient care
Dr. Maradit Kremers' research into the long-term safety of joint replacement implants and clinical outcomes helps improve delivery of effective musculoskeletal care and improves outcomes for people. Her research using artificial intelligence enhances the use of electronic health records in orthopedics research and transforms orthopedic practices.
- Consultant, Division of Epidemiology, Department of Quantitative Health Sciences, Mayo Clinic, 2022-present.
- Consultant, Division of Orthopedic Surgery Research, Department of Orthopedic Surgery, Mayo Clinic, 2022-present.