A Cognitive Agent Approach to MedNet Development

Award Information
Agency:
Department of Defense
Branch:
Navy
Amount:
$746,873.00
Award Year:
2007
Program:
SBIR
Phase:
Phase II
Contract:
N00014-07-C-0763
Agency Tracking Number:
O052-H14-3106
Solicitation Year:
2005
Solicitation Topic Code:
OSD05-H14
Solicitation Number:
2005.2
Small Business Information
CHI SYSTEMS, INC.
1035 Virginia Drive, Suite 300, Fort Washington, PA, 19034
Hubzone Owned:
N
Socially and Economically Disadvantaged:
N
Woman Owned:
N
Duns:
161162995
Principal Investigator
 Russell Maulitz
 Principal Investigator
 (215) 542-1400
 rmaulitz@chisystems.com
Business Contact
 Phil Rollhauser
Title: Director of Contracts
Phone: (215) 542-1400
Email: prollhauser@chisystems.com
Research Institution
N/A
Abstract
Emergency personnel deal with a range of acute problems resulting from battlefield gunshot and improvised explosive device trauma to accidents, terroristic acts, and a variety of other incidents. Front line medical personnel often encounter these problems away from communications and medical infrastructure and under situations where they must travel ‘light’ to get to casualties. MedNet exploits recent and coming advances in medical information technology including diagnostic decision support for acute-care patients, computerized patient records including highly portable mini-records, and even interactive lessons-learned databases. All may simplify interaction with front line medical personnel and providing a “force multiplier” diagnostic/treatment effect. An important objective of this project is to develop systems that integrate these applicable, yet disparate, technological advancements to quickly collect appropriate physiological data, process these inputs through appropriate decision-making resources, provide triage guidance and goals for next-steps in the work-ups of these patients, and ideally provide for real-time collection of new lessons-learned by means of mobile imaging and other means. In its MedNet Phase II project CHI Systems, Inc. will design and implement an operational system in which the MedNet Tag, Grid, and Database components function in synergistic and mutually sustaining fashion.

* information listed above is at the time of submission.

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