Center for Disruptive Musculoskeletal Innovations (CDMI)
The Center for Disruptive Musculoskeletal Innovations (CDMI) represents a novel integration of health care economics, biomedical science, and clinical medicine, researching technologies that will decrease health care costs and improve the management and life of patients with musculoskeletal disease.
CDMI targets the growing burden of musculoskeletal disorders (MSDs) by being a primary source for fundamental research on clinical outcomes and cost, implant materials, tissue engineering, biosensors, implant testing protocols, noninvasive diagnostic and preventive technologies, and novel imaging. Preventing and treating MSDs are of key importance.
Prevention is a priority for U.S. business, as MSDs account for about 37% of all injury cases. The average direct cost of a work-related MSD is more than $32,000. Low-back pain alone is estimated to total in excess of $100 billion annually. Yet the causes of these injuries are not well understood.
Treating MSDs is a critical challenge. MSDs affect more than half of the U.S. adult population, and 75% of those over age 65, imposing an economic burden similar to or even greater than that of coronary heart disease and other major health problems. MSD pain is the main noncancer related reason for opioid use in the U.S. Despite the clear opportunity, federal investment in MSD translational research is disproportionately low.
CDMI will continue to bring physicians, scientists, engineers, and industry partners together to boost collaboration and to train and retain the next generation of scientists and engineers.
- University of California, San Francisco
- University of Toledo
- Ohio State University
Priority research areas include:
- Advanced science projects.
- Clinical outcomes.
- Ergonomics interventions.
- Innovative technologies and testing.
- Patient assessment tools.
Within these areas, CDMI is particularly interested in the following kinds of projects:
- Cross-site validation of computational modeling and simulation.
- Meta-analysis and development of new test standards, approaches, and test methods.
- Prediction and prevention of musculoskeletal injury.
- Prediction and prevention of treatment complications.
- Understanding the multidimensionality of musculoskeletal pain.