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  • 11
    Publication Date: 2019-07-12
    Description: We propose using meta-analytic methods to combine summary measures across space agencies: (1) Non-attributable data (2) Avoids problems with sharing health related data (3) Unpublished data
    Keywords: Aerospace Medicine
    Type: JSC-CN-25012
    Format: application/pdf
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  • 12
    Publication Date: 2019-07-13
    Description: The Integrated Medical Model (IMM) utilizes Monte Carlo methodologies to predict the occurrence of medical events, utilization of resources, and clinical outcomes during space flight. Real-world data may be used to demonstrate the accuracy of the model. For this analysis, IMM predictions were compared to data from historical shuttle missions, not yet included as model source input. Initial goodness of fit test-ing on International Space Station data suggests that the IMM may overestimate the number of occurrences for three of the 83 medical conditions in the model. The IMM did not underestimate the occurrence of any medical condition. Initial comparisons with shuttle data demonstrate the importance of understanding crew preference (i.e., preferred analgesic) for accurately predicting the utilization of re-sources. The initial analysis demonstrates the validity of the IMM for its intended use and highlights areas for improvement.
    Keywords: Aerospace Medicine
    Type: JSC-CN-21591 , JSC-CN-22361 , Winter Simulation Conference; Dec 04, 2010; Baltimore, MD; United States
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  • 13
    Publication Date: 2019-07-13
    Description: The Integrated Medical Model (IMM) uses Monte Carlo methodologies to predict the occurrence of medical events, their mitigation, and the resources required during space flight. The model includes two modules that utilize output from a single model simulation to identify an optimized medical kit for a specified mission scenario. This poster describes two flexible optimization routines built into SAS 9.1. The first routine utilizes a systematic process of elimination to maximize (or minimize) outcomes subject to attribute constraints. The second routine uses a search and mutate approach to minimize medical kit attributes given a set of outcome constraints. There are currently 273 unique resources identified that are used to treat at least one of 83 medical conditions currently in the model.
    Keywords: Aerospace Medicine
    Type: JSC-CN-21590 , JSC-CN-22327 , Winter Simulation Conference; Dec 05, 2010 - Dec 08, 2010; Baltimore, MD; United States
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