A Virtual PTSD Clinical Assistant with Cloud Computing and Mobile Interface: VPCA

Award Information
Agency:
Department of Defense
Branch
n/a
Amount:
$150,000.00
Award Year:
2013
Program:
SBIR
Phase:
Phase I
Contract:
W81XWH-13-C-0028
Agency Tracking Number:
H122-005-0283
Solicitation Year:
2012
Solicitation Topic Code:
DHP12-005
Solicitation Number:
2012.2
Small Business Information
Intelligent Automation, Inc.
15400 Calhoun Drive, Suite 400, Rockville, MD, -
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
Y
Duns:
161911532
Principal Investigator:
Kaizhi Tang
Lead Scientist
(301) 294-5214
ktang@i-a-i.com
Business Contact:
Mark James
Director, Contracts and Proposals
(301) 294-5221
mjames@i-a-i.com
Research Institution:
Stub




Abstract
To provide better healthcare to PTSD patients, there is a strong need to develop a powerful PTSD CDSS based on evidence-based treatment strategies, acting as an anytime virtual assistant for PTSD professionals, Primary Care Physicians (PCP) and residents. To address this critical need, Intelligent Automation, Inc., proposes to develop an innovative Virtual PTSD Clinical Assistant with Cloud Computing and Mobile Interface: VPCA. The key innovation of VPCA is the utilization of Hadoop Ecosystem with scalable data storage and processing capability to enable the evidence based clinical decision support empowered by Watson-like predictive analytics across different domains for PTSD patients. VPCA consists of a set of indispensable components that are grouped in four sub-systems. The first sub-system is for knowledge and rule authorization. The purpose of this sub-system is to transform the PTSD decision guidelines, already recognized by PTSD professional in practice, will be transformed into business rules. The second sub-system is for data integration and warehousing that can include as many as possible clinical data for Watson-like predictive analytics. The third sub-system is for knowledge and rule discovery that can continuously improve the reasoning potential. The fourth sub-system is for online clinical decision support.

* information listed above is at the time of submission.

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