Sunday, February 13, 2011

VAi2 Awards 4 Projects

The Veterans Administration has made four awards for the third VAi2 Industry Innovation Competition which is the first competition to involve the private sector. VAi2 was launched last June seeking innovators to submit proposals will new scalable solutions for the 21st century.

The first award went to mVisum, a privately held company located in Camden N.J. to deploy a pilot of their Cardiology Communication System at the Veterans Administration Medical Center in Washington D.C. With the system, cardiologists will be able to receive and review emergent patient data such as EKGs, laboratory reports, medical images including MRIs and Echocardiograms directly on their Blackberry smartphones.

The second award went to Agilex Technologies Inc. of Chantilly, Virginia to develop a pilot project also at the Washington D.C. VA Medical Center. The pilot will explore the possibility to extend elements of the VA’s EMR system to electronic devices. The pilot will enable patient search, demographics, laboratory data, allergies, medications, appointments, and problem lists to be displayed. Agilex will also integrate clinic schedules and secure messaging onto the device.

The third company, MedRed LLC, will use the funding to pilot their TBI Toolbox system at the McGuire VA Medical Center in Richmond Virginia. The project will allow the free exchange of data and rapidly evolving treatment guidelines at the VA Polytrauma Rehabilitation Centers and DOD medical facilities.

Last year, MedRed was awarded a $500,000 contract by the Center for Neurologic and Regenerative Medicine (CNRM) to expand the data collection system at the Walter Reed Army Medical Center WRAMC. The MedRed Chart system is currently in use at WRAMC is doing research in patho-physiology and TBI.

The last company to receive an award, Venture Gain, LLC of Naperville, Illinois will use the funds at the George E. Wahlen VA Medical Center in Salt Lake City, Utah to pilot a next generation system of wearable sensors in combination with software analytics to predict and prevent complications for patients diagnosed with heart failure.