A Small, Smart Medical System for the Soldier: the MedAgent System for Medical Diagnosis, Informatics and Treatment Support

Award Information
Agency:
Department of Defense
Branch:
Navy
Amount:
$100,000.00
Award Year:
2005
Program:
SBIR
Phase:
Phase I
Contract:
N00014-06-M-0036
Agency Tracking Number:
O052-H14-3060
Solicitation Year:
2005
Solicitation Topic Code:
OSD05-H14
Solicitation Number:
2005.2
Small Business Information
INTELLIGENT AUTOMATION, INC.
15400 Calhoun Drive, Suite 400, Rockville, MD, 20855
Hubzone Owned:
N
Socially and Economically Disadvantaged:
N
Woman Owned:
Y
Duns:
161911532
Principal Investigator
 Margaret Lyell
 Senior Research Scientist
 (301) 294-5223
 mlyell@i-a-i.com
Business Contact
 Mark James
Title: Contracts and Proposals Manager
Phone: (301) 294-5221
Email: mjames@i-a-i.com
Research Institution
N/A
Abstract
We approach the development of MedNet from the perspective of modern intelligent systems design. In this project, the elements of modern small smart systems are designed to act in synergy to support a soldier's medical needs. In the design, small sensor devices on the soldier capture health status. Medical software support is hosted in a distributed manner, over a wireless connection, between the sensor devices and the PDA (which captures health status), and to a `ruggedized' laptop hosting medical databases and Grid Agents. Even though the MedNet system is `small', it provides multi-modal interfaces to medical personnel. Logical connectivity for the main elements of the system's software components is provided by software agent technology. Software agent system design is robust in the face of asynchronous communications, multiple activities, and de-centralized systems, and is well suited to interface with resources or external systems, such as TMIP. Software agent technology supports intelligence in the MedNet System; through the algorithmic structure of Grid Agents; in the agent-mediated knowledge store that is the medical cases database and its updates, in medical case retrieval and diagnosis support, in ontological support, and in how the agent-based user interface is designed and user requests agent- supported.

* information listed above is at the time of submission.

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