DOD MTEC interoperable Medical Automated Systems (iMAS) Data Analytics and Artificial Intelligence Algorithm Development for interoperable Algorithms for Care and Treatment - white paper

Sponsor Deadline: 

Apr 15, 2021

Letter of Intent Deadline: 

Apr 15, 2021

Sponsor: 

Medical Technology Enterprise Consortium MTEC, DOD Army Medical Research and Materiel Command USAMRMC

UI Contact: 

interoperable Medical Automated Systems (iMAS) Data Analytics and Artificial Intelligence (AI) Algorithm Development for interoperable Algorithms for Care and Treatment (iACT)
Solicitation Number: MTEC-21-07-iACT
url to solicitation  https://www.mtec-sc.org/wp-content/uploads/2021/03/21-07-iACT-RPP.pdf
White Papers are due no later than April 15, 2021 at 12:00pm Eastern Time

The University of Iowa is a member of the MTEC Medical Technology Enterprise Consortium  https://www.mtec-sc.org
MTEC Open Solicitations  https://www.mtec-sc.org/solicitations

Solution Requirements:   The iACT prototype is a software system utilizing AI and Machine Learning based Clinical Decision Support algorithms to be used to support military medical personnel in their duties. The system will be developed with a Graphical User Interface (GUI) and Application Program Interface (API) to enable military personnel to input data and provide military personnel with AI-based alerts for their patients. The prototype shall include the development and integration of the medical database and AI based algorithms that are free of errors and minimizes the risks of data fitting and dimensionality through scalable data subsets. AI capabilities include, but are not limited to, predicting point of patient decompensation, predicting injury patterns, assessing patient status, identifying treatments and medications relating to the initial assessments, and providing medical alerts for personnel based on patient medical data. The system will receive patient data both manually entered and automatically collected from vital signs monitors, analyze the data received, and provide recommendations for medical treatment.

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