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TOPIC 322 PHASE 1; REAL TIME INTEGRATION OF SENSOR AND SELF REPORT DATA FOR CLINI

Award Information
Agency: Department of Health and Human Services
Branch: National Institutes of Health
Contract: N43CA130056
Agency Tracking Number: N43CA130056
Amount: $198,824.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: NCI
Solicitation Number: N/A
Timeline
Solicitation Year: 2013
Award Year: 2013
Award Start Date (Proposal Award Date): N/A
Award End Date (Contract End Date): N/A
Small Business Information
12015 Lee Jackson Memorial Highway Suite 130
Fairfax, VA 22033
United States
DUNS: 832866201
HUBZone Owned: No
Woman Owned: Yes
Socially and Economically Disadvantaged: Yes
Principal Investigator
 PRADUMAN JAIN
 (703) 926-8754
 PJ@VIGNETCORP.COM
Business Contact
 PRADUMAN JAIN
Phone: (703) 926-8754
Email: PJ@VIGNETCORP.COM
Research Institution
 Stub
Abstract

This proposal was submitted under the SBIR Fast-track process. In Phase I, the primary purpose is to develop a sensor-enhanced health information system for many different health contexts including prevention and management of chronic diseases such as cancers. In Phase II, Vignet will combine several innovative technologies and methods into a comprehensive, integrated, end-to-end sensor-enhanced deliverable. Vignet proposal is to develop a commercial-ready, secure, HIPAA compliant, scalable sensor-enhancedhealth information system for many different health contexts including prevention and management of chronic diseases, behavioral health issues and substance abuse. This patient-centered system will utilize many existing Vignet technologies to combine wearable wireless sensors, mobile phones, mobile messaging, web technologies, cloud-based server platforms and various self-reported methods into an integrated product. This system will include several evidence-based methods of objective and self-reported EMAdata collection in a scalable, secure cloud server, real-time data transparency, customizable data visualizations and engagement of patients, caregivers and loved ones. Providers and researchers frequently treat patients with complex co-morbidities, multiple medications, and a wide array of physical, cognitive and emotional symptoms. This sensor-enhanced system will inform decisions and generate valuable insights. Data visualizations and analytical tools can then transform the multi-variable datasets into knowledge and insights. This secure system is expected to benefit consumer health, clinical care and research by improving the quality of care and empowering patients to take more control over their own health. Vignet has already received an early evidenceof commercial interest from its partners namely University of North Carolina and University of Pittsburgh Medical Center. PUBLIC HEALTH RELEVANCE

* Information listed above is at the time of submission. *

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