Predicting Cognitive Performance of Deploying Health Teams

Award Information
Agency:
Department of Defense
Branch
Army
Amount:
$730,886.00
Award Year:
2004
Program:
SBIR
Phase:
Phase II
Contract:
W81XWH-04-C-0014
Agency Tracking Number:
O032-3120
Solicitation Year:
2003
Solicitation Topic Code:
OSD03-DH06
Solicitation Number:
2003.2
Small Business Information
SA TECHNOLOGIES, INC.
4731 East Forest Peak, Marietta, GA, 30066
Hubzone Owned:
N
Socially and Economically Disadvantaged:
N
Woman Owned:
Y
Duns:
179321302
Principal Investigator:
Cheryl Bolstad
Senior Research Associate
(410) 838-3748
cheryl@satechnologies.com
Business Contact:
Mica Endsley
President
(770) 565-9859
MICA@SATECHNOLOGIES.COM
Research Institution:
n/a
Abstract
As the military undergoes significant changes the need to find new methods to aid in the selection, training, and deployment of medically cognitive ready teams becomes more emphasized than in the past. Our research activities employ state of the art techniques in Cognitive Engineering, Decision Making, Team Performance and Instructional Design to develop comprehensive medical cognitive readiness measures that assess status and provide diagnostic information to the combat surgical team and its members. Our prototype, Medical Cognitive Readiness Statusing Technique (M-CREST), uses unobtrusive, non-invasive, and validated measures of cognitive readiness, and is aligned with the Department of Defense (DoD) Cognitive Readiness and Advanced Distributed Learning Initiative. Phase II objectives are to (1) produce a functional M-CREST prototype, (2) demonstrate and evaluate all M-CREST functional capabilities for military applications, (3) produce a detailed commercialization plan and technical report. M-CREST requirements and specifications are based on a needs driven model that follows a systems engineering approach. The M-CREST system provides a method for decision aiding so that better medical cognitive readiness decisions can be made for team and individual selection, team and individual assessment, team diagnostic capabilities, and prescriptive training based on specific team diagnosis.

* information listed above is at the time of submission.

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