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  • Crew Health and Performance risks: Assessment within Continuous Risk Management

    Paper number

    IAC-08.A1.3.1

    Author

    Dr. Michelle Edwards, Futron Corporation, United States

    Coauthor

    Dr. Craig Kundrot, United States

    Coauthor

    Dr. John Charles, National Aeronautics and Space Administration (NASA)/Johnson Space Center, United States

    Coauthor

    Dr. Wilma Anton, United States

    Coauthor

    Mr. Kwesi Robotham, United States

    Year

    2008

    Abstract
    Crew health and performance risks are often described in terms of physiological end states: the occurrence of an adverse health event, decreased performance, or performance errors.  It is vital to determine how these physiological end states relate to and contribute to mission end states (e.g. Loss of Crew/Loss of Mission) and to the long term health of the astronaut.  NASA’s Continuous Risk Management (CRM: Identify, Analyze, Plan, Track, and Control) provides a powerful and well-accepted method for managing crew health and performance risks.  The Risk Assessment and Integration Team (RAIT) of NASA’s Human Research Program (HRP) has focused on developing a methodology to analyze the approximately 30 crew health and performance risks identified by HRP and to determine how they contribute to the mission end states.  This is the first time CRM has been applied to crew health risks in this manner.  The methodology is based primarily on those methods used in classic Probabilistic Risk Assessment (PRA).  The first steps within PRA, including the creation of risk statements, Master Logic Diagrams (MLDs), and Event Sequence Diagrams (ESDs), define the nature of the risk, identify its contributors, and identify the linkage between the physiological end states and mission end states.  These qualitative tools facilitate the initial estimation of likelihoods of the contributing events and end states as well as providing insights on their relative contributions to mission end states and post-mission health.  The quantitative refinement of the likelihoods faces many challenges including integration of qualitatively distinct mission risks, the integration of mission risks and long term health risks, and availability or feasibility of obtaining data.  In conclusion, we will show how CRM and PRA provide a foundation for analysis that is beneficial to managers and decision-makers in planning for crew health risks associated with space exploration.
    Abstract document

    IAC-08.A1.3.1.pdf

    Manuscript document

    IAC-08.A1.3.1.pdf (🔒 authorized access only).

    To get the manuscript, please contact IAF Secretariat.