SBIR-STTR Award

IGF::OT::IGF Sensor-enhanced health information system
Award last edited on: 10/11/19

Sponsored Program
SBIR
Awarding Agency
NIH : NCI
Total Award Amount
$1,188,673
Award Phase
2
Solicitation Topic Code
NCI
Principal Investigator
Praduman Jain

Company Information

Vignet Inc

12015 Lee Jackson Memorial Highway Suite 130
Fairfax, VA 22033
   (703) 865-8442
   info@vignetcorp.com
   www.vignetcorp.com
Location: Single
Congr. District: 11
County: Fairfax

Phase I

Contract Number: 261201300056C-0-0-1
Start Date: 9/20/13    Completed: 6/19/14
Phase I year
2013
Phase I Amount
$198,824
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-enhanced health 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 EMA data 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 evidence of commercial interest from its partners namely University of North Carolina and University of Pittsburgh Medical Center.

Phase II

Contract Number: 261201300056C-5-0-1
Start Date: 00/00/00    Completed: 00/00/00
Phase II year
2014
Phase II Amount
$989,849
This proposal was submitted under the Small Business Innovative Research (SBIR) Fast-track process. In Phase I, that concluded in September, 2014, the primary purpose was 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. In Phase II, Vignet is utilizing "Supported Self Management" (SSM) and will partner with the University of Pittsburgh Medical Center in developing a commercial-ready, secure, HIPAA compliant, scalable sensor-enhanced health 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 EMA data 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.