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Integrated Medical Model (IMM) 4.0 Enhanced FunctionalitiesThe Integrated Medical Model is a probabilistic simulation model that uses input data on 100 medical conditions to simulate expected medical events, the resources required to treat, and the resulting impact to the mission for specific crew and mission characteristics. The newest development version of IMM, IMM v4.0, adds capabilities that remove some of the conservative assumptions that underlie the current operational version, IMM v3. While IMM v3 provides the framework to simulate whether a medical event occurred, IMMv4 also simulates when the event occurred during a mission timeline. This allows for more accurate estimation of mission time lost and resource utilization. In addition to the mission timeline, IMMv4.0 features two enhancements that address IMM v3 assumptions regarding medical event treatment. Medical events in IMMv3 are assigned the untreated outcome if any resource required to treat the event was unavailable. IMMv4 allows for partially treated outcomes that are proportional to the amount of required resources available, thus removing the dichotomous treatment assumption. An additional capability IMMv4 is to use an alternative medical resource when the primary resource assigned to the condition is depleted, more accurately reflecting the real-world system. The additional capabilities defining IMM v4.0the mission timeline, partial treatment, and alternate drug result in more realistic predicted mission outcomes. The primary model outcomes of IMM v4.0 for the ISS6 mission, including mission time lost, probability of evacuation, and probability of loss of crew life, are be compared to those produced by the current operational version of IMM to showcase enhanced prediction capabilities.
Document ID
20150002715
Acquisition Source
Glenn Research Center
Document Type
Presentation
Authors
Young, M.
(Wyle Science, Technology and Engineering Group Houston, TX, United States)
Keenan, A. B.
(Wyle Science, Technology and Engineering Group Houston, TX, United States)
Saile, L.
(Wyle Science, Technology and Engineering Group Houston, TX, United States)
Boley, L. A.
(Wyle Science, Technology and Engineering Group Houston, TX, United States)
Walton, M. E.
(Wyle Science, Technology and Engineering Group Houston, TX, United States)
Shah, R. V.
(Texas Univ. Galveston, TX, United States)
Kerstman, E. L.
(Texas Univ. Galveston, TX, United States)
Myers, J. G.
(NASA Glenn Research Center Cleveland, OH, United States)
Date Acquired
March 10, 2015
Publication Date
January 13, 2015
Subject Category
Computer Programming And Software
Statistics And Probability
Aerospace Medicine
Report/Patent Number
GRC-E-DAA-TN20329
Meeting Information
Meeting: NASA Human Research Program Investigators'' Workshop: Integrated Pathways to Mars
Location: Galveston, TX
Country: United States
Start Date: January 13, 2015
End Date: January 15, 2015
Sponsors: National Space Biomedical Research Inst., NASA Johnson Space Center
Funding Number(s)
WBS: WBS 444543.01.02.10
CONTRACT_GRANT: NAS9-02078
Distribution Limits
Public
Copyright
Public Use Permitted.
Keywords
Spae Adaptation Syndrome
Risk Analysis
biomedical data
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