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    The Integrated Medical Model: A Risk Assessment and Decision Support Tool for Human Space Flight Missions (2011)
    In:  CASI
    Details
    Publication Date: 2019-07-13
    Description: This slide presentation reviews the Integrated Medical Model (IMM) and its use as a risk assessment and decision support tool for human space flight missions. The IMM is an integrated, quantified, evidence-based decision support tool useful to NASA crew health and mission planners. It is intended to assist in optimizing crew health, safety and mission success within the constraints of the space flight environment for in-flight operations. It uses ISS data to assist in planning for the Exploration Program and it is not intended to assist in post flight research. The IMM was used to update Probability Risk Assessment (PRA) for the purpose of updating forecasts for the conditions requiring evacuation (EVAC) or Loss of Crew Life (LOC) for the ISS. The IMM validation approach includes comparison with actual events and involves both qualitative and quantitaive approaches. The results of these comparisons are reviewed. Another use of the IMM is to optimize the medical kits taking into consideration the specific mission and the crew profile. An example of the use of the IMM to optimize the medical kits is reviewed.
    Keywords: Aerospace Medicine
    Type: JSC-CN-23306 , 82ndScientific Meeting of the Aerospace Medical Association; May 08, 2011 - May 12, 2011; Anchorage, AK; United States
    Format: application/pdf
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    NASA TECHNICAL REPORTS
  • 2
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    Validation of the Integrated Medical Model Using Historical Space Flight Data (2010)
    In:  CASI
    Details
    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
    Format: application/pdf
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    NASA TECHNICAL REPORTS
  • 3
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    Optimizing Medical Kits for Space Flight (2010)
    In:  CASI
    Details
    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
    Format: application/pdf
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    NASA TECHNICAL REPORTS
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