Intelligence, Computing and Networking

As the military moves toward an agile distributed and network-centric operational doctrine, there is a need for reliable, efficient, and assured access to information services. Wireless networks in tactical, underwater, and airborne applications impose additional challenges. As reliance on IT networks in both military and civilian applications grows, there is an increased need to ensure the security of confidential information. IT networks do not function like national borders. The steps required to completely prevent unauthorized entry are cost-prohibitive and would choke off normal forms of commerce and traffic. Rather than protecting communication channels and information containers, it is necessary to protect the content itself, whether it is in transit or stored in a cache.

Scientific Systems specializes in scalable routing and medium access control protocols for mobile wireless ad hoc networks in terrestrial as well as airborne networking applications. Our networking expertise also includes optimization of the protocol and software layers to increase disruption-tolerant access to distributed information. Our information assurance expertise includes proactive and real-time intrusion detection for distributed mobile ad-hoc networks, such as airborne, land, surface, undersea, or heterogeneous networks.

We are actively developing Airborne Networking and Disruption-Tolerant Networking technologies to support NASA and DoD needs.

Problem Oriented Information Networking Tool (POINT)– A Cognitive Integrated Medical Data Display System

Electronic Medical Record (EMR) systems represent a revolutionary step in documentation and data utility. However, for the most part, current EMRs are used like electronic file cabinets for simple storage and retrieval of patient data. Clinicians still need to browse through enormous quantities of data from various sources to grasp an overall picture of a patient or filter out a few pieces of relevant information for the patient’s care. This problem of “information overload” can be addressed by constructing and presenting to physicians a knowledge-based, concept(problem)-oriented viewing system that automatically retrieves relevant data. The Phase I SBIR project demonstrated the feasibility of Problem-Oriented Information Networking Tool(POINT). A test database with about 170 patients was used for this effort, and both Summary and Problem-Oriented Views were provided by POINT. Phase II will build upon the success of Phase I, and enhance and further develop POINT as a prototype system. A more realistic example patient database for CHCS-I will be used for testing, and 3D visualization technologies will be adopted for effectively managing multiple display windows. Phase II will also be directed towards Phase III commercialization, and the focus will be for POINT to be integrated into DoD’s new CHCS-II, VA’s EMR system, and other commercially available EMR systems. The team includes Scientific Systems Company Inc., Drs. Qing Zeng and William Salomon of Decision Systems Group at Harvard Medical School, and Dr. Douglas Rosendale at the Grand Junction Veterans Affairs Medical Center, and brings a wealth of expertise in problem-oriented viewing systems, medical information systems, software engineering and user interface design, as well as decades of clinical experience. The development of the technologies in knowledge representation, verification, retrieval and inference, as well as in user interface, 3D visualization display and web-based applications, will serve as a foundation for Phase III commercialization. For military applications, this technology is highly desirable for DoD’s CHCS-II and the EMR system in VA. It may also potentially benefit NATO countries as they move to modernize their healthcare delivery systems. For commercial applications, this technology will enhance the competitiveness of any EMR system, and therefore will have great potential in the EMR providers market. The concept could also be extended across multiple EMR systems, for both in- and out-patients with appropriate mapping strategies.

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