In the Midwest region there is a significant population of leading U.S. healthcare organizations, both public and private, who are increasingly concerned with the effective management of healthcare information. These organizations deal with increasingly complex data management problems that arise in genetic and proteomic research where scientific investigation generates massive amounts of data that must be stored and analyzed, in molecular biology and diagnostic imaging where a single patient study can produce terabytes of data, and in hospital and clinical practice management where the electronic medical records must be constantly updated by high-performance, distributed real-time information systems.

The Institute is in contact with leading manufacturing companies in the region about collaborative research services, cyberinfrastructure and computational science resources that are should be beneficial, and in some cases necessary, to their respective business operations, especially their R&D activities. It is the expectation of the participants that leaders will be selected, work teams organized and collaborative research projects identified that will be served by the cyber infrastructure being developed by the Institute. If you or your organization is interested in being a participant in the advanced manufacturing cluster please follow the link to Contacts.

The Institute is currently supporting a number of systems biology and genomics research projects at the Medical College of Wisconsin.  The projects utilize the Institute's HPC cluster and its MATLAB modeling software.
Role of the Institute           

The Institute will support the work of the participants in the healthcare cluster by providing web-based collaboration services to assist life sciences and clinical research participants with communications, project management, financial and resource management, and software development resources. The Institute will also provide some or all of the computational hardware and analytic software resources necessary to model, simulate and visualize biological processes, including clinical-translational healthcare service systems that couple, in real time, vertical business processes and horizontal clinical-translational processes in order to improve the agility, quality and performance of healthcare enterprises.