Okay, the deal is to work with private industry in the spirit of "public/private innovation" and to figure out new tech to better help vets in the field, in areas including medical tech, housing for homeless vets and tools to help veteran entrepreneurs
Those were the themes of the third phase of the VA Innovation Initiative (VAi2). In one part, vendors proposed new tech for patient monitoring, mobility and wireless being a big part. The judging was performed by VA rank-and-file workers for the most part. (I was also involved, but my contributions were not significant compared to the people who really know stuff.)
Details: VA Announces Award of First Industry Innovation Competition Projects
The first award is to mVisum, Inc., based in Camden, N.J. It funds a pilot project at the Washington DC VA Medical Center that enables health care providers to wirelessly review, share, and respond to cardiology data on mobile devices, increasing the ability to respond more quickly to patient needs.
The second award, made to Agilex Technologies, Inc of Chantilly, Va., funds an alternative pilot project at the same Washington DC VA Medical Center. This pilot intends to explore the ability for extending elements of VA’s Electronic Medical Record to electronic devices. The pilot will allow patient search, demographics, laboratory data, medications, allergies, appointments, and problem lists to be displayed. Agilex will also integrate clinic schedules and secure messaging onto the device.
MedRed, LLC, based in Washington, D.C., was awarded a project that VA will implement at the McGuire VA Medical Center’s Polytrauma Clinic in Richmond, Va. The project will field test a software tool that helps healthcare providers to more easily share new and innovative treatment strategies to improve the care of Veterans being treated for traumatic brain injury.
The fourth award, made to Venture Gain, LLC of Naperville, Ill., funds a project at the George E. Wahlen VA Medical Center in Salt Lake City, Utah. The project will pilot a next generation system of wearable sensors combined with software analytics to predict and prevent complications for patients diagnosed with heart failure.