2024-06-212024-06-212024-07-21ICES-2024-99https://hdl.handle.net/2346/98809Drayton Munster, NASA Glenn Research Center, USAMona Matar, NASA Glenn Research Center, USASuleyman Gokoglu, NASA Glenn Research Center, USABeth Lewandowski, NASA Glenn Research Center, USALauren McIntyre, NASA Glenn Research Center, USAJerry Myers, NASA Glenn Research Center, USAICES513: Human Health and Performance AnalysisThe 53rd International Conference on Environmental Systems was held in Louisville, Kentucky, USA, on 21 July 2024 through 25 July 2024.At NASA, the Crew Health and Performance (CHP) system represents the span of countermeasures, capabilities, interventions, and tested processes and procedures that in combination work to mitigate the human component of spaceflight mission risk. Across the varying NASA mental models of the CHP system, the different functionalities needed to meet human flight systems standards can be broken down into specific categories (i.e. medical capability, environmental health, behavioral health). These categories can be further broken down into specific subgroups generally associated with the CHP functionalities meant to mitigate or buy down individual human system risks. Taking a similar development approach used by the NASA Human Research Program for modeling risk in the spaceflight medical system, we seek to leverage dynamic probabilistic risk assessment as a means to quantify and relatively assess the human risk state within the crew health and performance domain.12 By utilizing existing tools as integrators, we propose a rapid development strategy for incorporating research and operational data that represent the influence of the CHP system functionalities, in order to provide order of magnitudes estimates of the influence on most human system risks outcomes. By taking a modest cumulative risk approach and limiting scope to primary paths of influence between the CHP functionalities and human system risks, we can quickly prototype the integrative effects of CHP functional combinations to solicit valuable feedback from stakeholders and customers on the data, relationship, and structure of the integration. In this presentation, we will introduce the initial concept and development timeline for this tool and demonstrate a proof-of-concept through an application to the exercise device as a countermeasure in an Artemis-like design reference mission.application/pdfengcomputational modelingcrew healthperformancePRArisk quantificationspace healthPresentations