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

Award Information
Agency: Department of Defense
Branch: Defense Health Agency
Contract: W81XWH-13-C-0028
Agency Tracking Number: H122-005-0283
Amount: $150,000.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: DHP12-005
Solicitation Number: 2012.2
Timeline
Solicitation Year: 2012
Award Year: 2013
Award Start Date (Proposal Award Date): 2013-02-13
Award End Date (Contract End Date): 2013-09-18
Small Business Information
15400 Calhoun Drive Suite 400
Rockville, MD -
United States
DUNS: 161911532
HUBZone Owned: No
Woman Owned: Yes
Socially and Economically Disadvantaged: No
Principal Investigator
 Kaizhi Tang
 Lead Scientist
 (301) 294-5214
 ktang@i-a-i.com
Business Contact
 Mark James
Title: Director, Contracts and Proposals
Phone: (301) 294-5221
Email: 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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