SBIR/STTR Research Award

Intelligent Medical Crew Assistant (IMCA)

Award identifier 6ed609ff7a148193f39f786c912320a5011c8071d9be6a565a9ded1281f1f5d9Awarding agency National Aeronautics and Space Administration

Award amount

$124,946

Program and phase

SBIR · Phase I

Award year

2020

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Award details

Awarding agency
National Aeronautics and Space Administration
Branch
Not reported
Recipient company
TIETRONIX SOFTWARE INC
Proposal award date
2020-08-24
Contract end date
2021-03-01
UEI
ZWUEWMMWJ7M5
Solicitation number
SBIR_20_P1
Topic code
H12

Research abstract

Our proposed concept is the Intelligent Medical Crew Assistant (IMCA), which is an intuitive, adaptive, voice-interactive intelligent user interface that functions as a virtual medical officer to enable enhanced crew medical autonomy.nbsp; By developing this important front-end technology, IMCA promises to seamlessly integrate these tools and resources to support longitudinal crew monitoring, health maintenance, medical care and emergency response as well as optimization of resources for long-duration human spaceflight. IMCA, utilizes an integrated set of technological brick components aimed at providing support to the crew with respect to medical operations. The first component is a Dialog based/Voice enabled intelligent assistant with Natural Language Processing and intents identification. Crew can ask any question with respect to the medical procedures, inventory of medical supplies, their health monitoring, and recommended counter measures. The second technology brick is an AR enabled Electronic Procedures platform containing a repository of the medical procedures, an execution engine, an Augmented Reality device and software to guide the crew during the procedure execution. This component is able to provide Just-in-Time Training (JITT) for medical procedures using AR or/and VR glasses. A third brick is an Adaptive User Interface, adapting training or procedure execution to the level of expertise and cognitive workload of the crew. Our IMCA integrates with the EHR/EMR and medical inventory system in to monitor the health of the astronauts and help them identify resources needed for medical procedures. Machine Learning algorithms provide indications adverse medical conditions using individual crew health monitoring data. By having the data and procedural guidance when they need it, in a format optimized to each respective crewmembers skills and UI/UX preferences, crew will be able to more effectively operate autonomously and achieve both health hand mission goals.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

43 SBIR/STTR records share this UEI (2001–2024). Reported award amounts total $12,487,765. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: National Aeronautics and Space Administration, Department of Health and Human Services, Department of Defense, National Science Foundation, Department of Energy

Agency intelligence

National Aeronautics and Space Administration

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