MINDS - Medical Information Network Decision Support System
Abstract
Advances in medical knowledge and technology have created new opportunities for disease specific diagnosis and treatment. The increase in and complexity of medical data at various levels of resolution has increased the need for system level advancements in clinical decision support systems that provide computer-aided analysis for diagnostics and treatment. In order to facilitate a more rapid and systematic transfer of new medical knowledge and capabilities into mainstream clinical practice, a new Medical Information Network Decision Support (MINDS) system is proposed. This system is intended to be a platform for storing and fusing medical data across all levels (e.g. from low-level genomic and proteomic data to higher level clinical data) in a standardized way, and provide probabilistic diagnostic and treatment decisions to assist doctors and medical researchers in understanding and treating disease. This tools is viewed as complementary to the many other information technologies that are streamlining the health care administration processes and empowering patients through web-based informational tools. The pilot application will be targeted to breast cancer diagnosis and treatment, and later expanded to other diseases. The system will build upon the information fusion and decision architecture technology that is currently being developed in the Missile Defense community and apply it to the medical science of identification, tracking, and treatment of disease. It will provide initial diagnostic and treatment models for breast cancer, and refine those models using validated, state-of-the-art research techniques applied to clinical data, medical imaging data, experimental proteomics data, and cell-based experimental data. The ultimate goal is to provide a rapid and systematic introduction of the latest medical knowledge and techniques into mainstream medical practice throughout the medical community and within large national systems.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jun 01, 2008
- Accession Number
- ADA487222
Entities
People
- H. K. Armenian