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Crew Health and Performance Integrated Data Architecture (CHP-IDA) ProjectBACKGROUND: Future Human Exploration missions introduce a new paradigm as crews move further from the resupply and near real-time ground support typical of Low Earth Orbit missions today. Without immediate support from ground-based personnel, exploration crews will be more reliant on inflight data and technology to respond to emergencies and anomalies. A data architecture to support a new generation of technologies, employing advanced analytical and predictive modeling techniques, is needed to enable crew autonomy.

OVERVIEW: The Crew Health and Performance Integrated Data Architecture (CHP-IDA) project funded by NASA’s Exploration Medical Integrated Product Team (XMIPT) is laying a foundation for future in-flight informatics by providing a back-end architecture for collecting, storing, and integrating multiple sources of data generated by and around the crew. CHP-IDA provides a platform for common data models and Application Programming Interfaces to access, integrate, process, and display CHP data (e.g., environmental, exercise, medical, sleep, performance, etc.). This will facilitate the increased situation awareness and decision support required by the crew and remote support of exploration missions. This presentation will describe the currently ongoing effort to develop and evaluate a path-to-flight concept of the CHP-IDA software and its core capabilities. Current integrations will be discussed, including analytics for Extravehicular Activity metabolic rate and data ingestion from a multi-functional integrated medical device. The presentation will also provide examples of scenarios used to demonstrate the CHP-IDA through human-in-the-loop test bed activities as well as examples of appropriate system performance metrics.

DISCUSSION: Today, in-flight data is often siloed, unsynchronized, and largely inaccessible in real time. Many data sets require manual entry and/or data transfer between vehicles and the ground. These issues contribute to risks in supporting exploration medical capabilities. The CHP-IDA is a back-end data system providing core capabilities needed for timely and meaningful data insights across CHP domains to crew and remote personnel to enable increased crew autonomy. Future work includes collaboration with additional CHP domains, new technology integrations, and further demonstrations of the IDA within different vehicle and communication latency contexts.

LEARNING OBJECTIVES
1. The audience will understand that the CHP-IDA is a back-end system, providing a platform to facilitate access, promote decision tools, and provide meaningful insights to crew and to remote stakeholders during exploration missions.
2. The audience will gain insight into human-centered research and activities used to discover CHP domain data needs and pain points and how this information is used to guide development of the IDA.
Document ID
20240004807
Acquisition Source
Johnson Space Center
Document Type
Presentation
Authors
Amanda Smith
(KBR (United States) Houston, Texas, United States)
Brandon Schmitt
(Alidyne Melbourne, Florida, United States)
Dennis Beaugrand
(Alidyne Melbourne, Florida, United States)
Philip Augustine
(Johnson Space Center Houston, United States)
Melissa Lyons
(Alidyne Melbourne, Florida, United States)
Michele Beaugrand
(Alidyne Melbourne, Florida, United States)
Luis Montalvo
(KBR (United States) Houston, Texas, United States)
Steve G Duran
(JSC)
Date Acquired
April 17, 2024
Publication Date
May 8, 2024
Publication Information
Publisher: Aerospace Medical Association
Subject Category
Computer Systems
Meeting Information
Meeting: Aerospace Medical Association 94th Annual Scientific Meeting
Location: Chicago, IL
Country: US
Start Date: May 6, 2024
End Date: May 9, 2024
Sponsors: Aerospace Medical Association
Funding Number(s)
PROJECT: NASA JSC SF4 CHP-IDA
CONTRACT_GRANT: NNA14AB82C
CONTRACT_GRANT: NNJ15HK11B
Distribution Limits
Public
Copyright
Public Use Permitted.
Technical Review
NASA Peer Committee
Keywords
Exploration
Crew Health and Performance
Data Architecture
Software
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