Interoperable Medical Automated Systems (iMAS) Technology and Gap Assessment
Medical Technology Enterprise Consortium (MTEC)
REQUEST ISSUE DATE
May 20, 2020
ENHANCED WHITEPAPER DUE
June 18, 2020
DOCUMENTS
1 Documents
Purpose
This solicitation, issued by MTEC, represents a Request for Project Proposals (RPP) for MTEC support of the DOD U.S. Army Medical Materiel Development Activity (USAMMDA).
Strategic oversight for the award(s) supported by this RPP will be provided by the Warfighter, Health, Performance and Evacuation (WHPE) Project Management Office (PMO). This RPP aims to help develop a research prototype for the ability to tele-monitor and capture research data for the following research areas: COVID-19 wards, emergency rooms/trauma rooms (ERs/TRs), and neurological patients. This capability will help develop the DoD interoperable Medical Automated Systems (iMAS) program. The program believes partnering with a hospital center shall provide the following:
- Develop an initial database prototype and architecture to tele-monitor and capture data from COVID-19 patients. This will allow the Government to provide an immediate response to COVID-19 through remote tele-monitoring capabilities and a database prototype to support the future development of pandemic patient response methodologies and COVID-19 predictive algorithms.
- Analyze ERs and TRs via camera(s) and video feeds to identify possible Tactics, Techniques, Procedures (TTPs) and automated efficiencies that would improve a deployed field hospital. Information from this effort supports the development of TTPs and future battlefield medical automation prototypes.
- Evaluate existing handheld applications and correlate these data with hospital diagnostic tools, such as a magnetic resonance imaging (MRI) or computed tomography (CT) scan, and use these data for the future development of novel mobile applications for TBI evaluations if existing mobile applications are not sufficient for rapid TBI assessment.
The DoD will leverage data to develop and evaluate machine learning and predictive algorithms that will ultimately be used to recommend diagnoses, treatments, and medications to care providers in the DoD’s deployed Medical Treatment Facilities (MTFs).
Note: Pending successful completion of this effort, the Government may issue a noncompetitive follow-on production contract or transaction pursuant to 10 USC 2371b section f.
Points of Contact
For inquiries, please direct your correspondence to Biomedical Research Associate Chuck Hutti, Ph.D. at Chuck.Hutti@ati.org.
Other Opportunities
Ongoing
DHA Research & Engineering Directorate
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