Interactive Medical Data on Demand: A High-Performance Image-Based Warehouse Across Heterogeneous Environments
Sponsor: National Library of Medicine (NLM)
The value of high resolution imaging is not simply the ability to acquire data at increased precision, but to make these data both available and usable to as many specialists as possible. This planning grant will determine the requirements of a system for intuitive, real-time access to patient specific data that are based primarily on very large multimodal images and multimedia. We will design and implement a prototype of limited scope to evaluate our system designs. We will evaluate and select system architectures, software, and network configurations to provide access over manifold network bandwidths to users running a variety of computing platforms. This design will include scalability of the system and extensibility to other healthcare applications.
This scenario inlcudes a computerized patient record that is set up as a database/server. End users are clinicians, researchers, and residents/students. This work presents novel research in areas of data management support for rendering extremely large data objects, automatic selection of visualization techniques, and methods to guarantee network performance in a heterogeneous computing environment.
Funding for this project is made possible from the National Institutes of Health, the National Library of Medicine.