Estimating medical risk in human spaceflight.
Abstract
NASA and commercial spaceflight companies will soon be retuning humans to the Moon
and then eventually sending them on to Mars. These distant planetary destinations
will pose new risks-in particular for the health of the astronaut crews. The bulk
of the evidence characterizing human health and performance in spaceflight has come
from missions in Low Earth Orbit. As missions last longer and travel farther from
Earth, medical risk is expected to contribute an increasing proportion of total mission
risk. To date, there have been no reliable estimates of how much. The Integrated Medical
Model (IMM) is a Probabilistic Risk Assessment (PRA) Monte-Carlo simulation tool developed
by NASA for medical risk assessment. This paper uses the IMM to provide an evidence-based,
quantified medical risk estimate comparison across different spaceflight mission durations.
We discuss model limitations and unimplemented capabilities providing insight into
the complexity of medical risk estimation for human spaceflight. The results enable
prioritization of medical needs in the context of other mission risks. These findings
provide a reasonable bounding estimate for medical risk in missions to the Moon and
Mars and hold value for risk managers and mission planners in performing cost-benefit
trades for mission capability and research investments.
Type
Journal articlePermalink
https://hdl.handle.net/10161/25506Published Version (Please cite this version)
10.1038/s41526-022-00193-9Publication Info
Antonsen, Erik L; Myers, Jerry G; Boley, Lynn; Arellano, John; Kerstman, Eric; Kadwa,
Binaifer; ... Van Baalen, Mary (2022). Estimating medical risk in human spaceflight. NPJ microgravity, 8(1). pp. 8. 10.1038/s41526-022-00193-9. Retrieved from https://hdl.handle.net/10161/25506.This is constructed from limited available data and may be imprecise. To cite this
article, please review & use the official citation provided by the journal.
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Show full item recordScholars@Duke
Daniel Buckland
Assistant Professor of Emergency Medicine
Dr. Buckland is an Attending Physician at Duke University Hospital Emergency Department.
He is also the Director of the Duke Acute Care Technology Lab (DACTL) where he leads
research in developing technology for the diagnosis and treatment of acute disease
in data science and robotics projects. Dr Buckland oversees several PhD, Masters,
and Undergraduate engineer researchers as their primary advisor, as well as manages
collaborative research projects between clinicians and engineering students.

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