A Paradigm Shift from Telemedicine to Autonomous Human Health & Performance for Long-Duration Space Missions

Alexandre Popov, Wolfgang Fink, Andrew Hess, and Mark Tarbell
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Special Issue PHM for Human Health and Performance
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Full Paper
ijphm_19_001.pdf469 KBFebruary 10, 2019 - 8:34pm

This paper discusses a Prognostics and Health Management [PHM]-based approach to implementing Human Health & Performance [HH&P] technologies. Targeted specifically are NASA’s “Autonomous Medical Decision” and “Integrated Biomedical Informatics” designations, both of which are essential elements in Technology Area 06 [TA 06] of NASA’s integrated technology roadmap [April 2012]: “Human Health, Life Support, and Habitation Systems.” The proposed solutions are to bridge PHM, an engineering discipline, to the HH&P technology domain in order to mitigate space travel risks by focusing on efforts to reduce countermeasure mass and volume, and drive down risks to an acceptable level. The Autonomous Medical Decision technology is based on wireless handheld devices and is a result of a necessary paradigm shift from telemedicine to that of HH&P autonomy. The Integrated Biomedical Informatics technology is based on Crew Electronic Health Records [CEHR], but with a predictive diagnostics capability developed for crew members rather than for healthcare professionals. This paper further explores the proposed PHM-based solutions for crew health maintenance in terms of predictive diagnostics. This provides early and actionable real-time warnings to each member of the crew of health-related risks and impending health problems that otherwise might go undetected. The paper also discusses the paradigm’s hypothesis and its innovation methodology, as implemented with computed biomarkers. This is to bevalidated on the International Space Station [ISS] to ensure that crew autonomy in terms of the inherent predictive capability and two-fault-tolerance of the methodology become dominant design drivers in sustaining crew health and performance.

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Submission Keywords: 
prognostics and health management (PHM); space medicine; human health and performance; prognostics; predictive analytics; predictive diagnostics
Submission Topic Areas: 
Data-driven methods for fault detection, diagnosis, and prognosis
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