Development of a Software and User Interface to Support Scenario Modeling of Astronaut Schedules to Aid in the Selection of Fatigue Countermeasures within the Behavioral Health and Performance Dashboard (BHP-DS) (BHP-DS)

This project integrated the Circadian Performance Simulation Software (CPSS) biomathematical model developed by the Harvard Biomathematical Modeling Unit (Dr. Elizabeth Klerman, Ph.D.) with the Behavioral Health and Performance Dashboard Software tool (BHP-DS) to support scenario modeling of astronaut schedules (inputs related to sleep, duty, and light exposure) to aid in the selection of fatigue countermeasures within the Behavioral Health and Performance Dashboard (BHP-DS). The BHP-DS was developed to address the need to track a variety of astronaut behavioral health indicators so that behavioral and performance issues can be detected and mitigated at an early stage. It is not intended to be used to automatically establish a diagnosis but instead provide a dashboard of behavioral health indicators placed within the context of behavioral health stressors. The target users of the BHP-DS are flight surgeons and Op Psy Personnel. All data used by the tool is encrypted and securely stored and accessible to approved NASA users (e.g., flight surgeons). User access to the BHP-DS is controlled by local user groups on the server and by the existing NASA active directory infrastructure (password protected). The BHP-DS was developed to be modular in design to support the implementation of countermeasures developed by other research groups in the NASA and National Space Biomedical Research Institute (NSBRI) community.

The core technology for BHP-DS meets a compelling commercial need in the field of medical care delivery on Earth. BHP-DS will enable tracking of patient time series data in the context of factors that affect patient health and treatment. It will enhance the efficiency and effectiveness of medical care that is delivered remotely (e.g., rural areas, specialists serving a nation-wide patient base) and a medical care delivery care paradigm that involves one to many (single physician providing medical monitoring to large number of patients).

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