A Model-Based Systems Engineering Approach to Exploration Medical System Development

Hanson, Andrea; Mindock, Jennifer; Okon, Shira; Hailey, Melinda; McGuire, Kerry; Bardina, Jorge; Stewart, Helen; Toscano, William B.; Winther, S.; Burba, T.; Rubin, David A.; Lumpkins, Sarah; Urbina, Michelle; Cerro, Jeffrey A.; Reilly, Jeffrey M.; Abdelmelek, Mena; Rubin, Alexander M.; Kockler, Mikayla; Lehnhardt, Kris

doi:10.1109/aero.2019.8741864

Cited by 14 publications

(8 citation statements)

References 2 publications

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“…MBSE could be a most viable option when it comes to SC system modelling and allowing information and technical communication across smart subsystems. MBSE can improve understanding of a system's needs and constraints, can ease the analysis while allowing to a bigger picture view when making big decisions and generating a whole system which is coherent and not dominated by a single perspective of a particular subsystem [18]. It extends beyond the engineering domains to support complex modelling and the integration of systems.…”

Section: Methods and Toolsmentioning

confidence: 99%

“…Model infrastructure is an important element to achieve the objective of system modelling work. Cameo Systems Modeller is a cross-platform collaborative MBSE by MagicDraw which provides a robust smart tool to define, visualise and track systems aspects and design processes [18]. This tool facilitates the visualisation of all aspects of systems in a standard way and complies with SysML diagrams.…”

Section: Methods and Toolsmentioning

confidence: 99%

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A Methodology to Model Integrated Smart City System from the Information Perspective

2019

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Rapid urban population growth challenges cities and sustainable urban development. Despite the effort deployed with conventional urban design, the current solutions are unable to significantly respond to existing challenges. The concept of smart city (SC) has been gaining popularity and cities have developed strong interest for transformation into SCs. However, given that a city is both a complex system of systems and a dynamic complex environment, achieving a state of SC can be challenging. Urban transformation into smart city has been straggling and has shown contrasting and disconnected views. Many studies have covered the design and modelling of an SC, but their focus has been mostly thematic and lack an integrated view of a smart city system. This study presents a methodology helped by a Model-Based Systems Engineering (MBSE) approach and Systems Modelling Language (SysML) to develop a model of an integrated SC system. The model brings all subsystems to operate together in one system and focuses on the information perspective of a city system. Three scenarios are presented to illustrate how an integrated information platform can be a gateway and easy access to information in an SC system, as well as a starting point towards modelling an integrated SC system.

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Section: Methods and Toolsmentioning

confidence: 99%

Section: Methods and Toolsmentioning

confidence: 99%

A Methodology to Model Integrated Smart City System from the Information Perspective

2019

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“…The observations of Au et al about the potential of setting-based approaches, if not the necessity for them, are echoed in NASA's modelbased systems engineering (MBSE) for the design of habitats for astronauts [17,18] (discussed below). NASA explicitly recognizes, of necessity, that settings of work and life are rich sources of people, systems and events that can be observed and influenced through interventions.…”

Section: Home Lifestyle Interventions Occur With or Without Sciencementioning

confidence: 99%

“…NASA's cross-cutting computational modeling project (CCMP) is engaged in a broader scientific community of multiscale modeling and analysis [70,71] while it is also intimately intertwined with NASA's modelbased systems engineering teams for development of exploration medical capabilities [18]. This multi-faceted multi-layered approach to collaboration recognizes models as falsifiable scientific theories that can develop reciprocally with the accumulation of evidence from interactions with a diversity of stakeholders (see sections below on use, utility and value of research and technology development).…”

Section: Cross-cutting Computational Modelingmentioning

confidence: 99%

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Situated Precision Healthcare in the Smart Medical Home: Bringing NASA’s Research Strategy down to Earth

Riccio¹,

Au²,

Emmerik³

et al. 2020

Adv Geriatr Med Res

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This special issue is ambitious in that it calls for strategic transformation in research on Alzheimer's Disease (AD) and related dementias, including innovation in both research design and value delivery, through lifestyle interventions that implicitly relate to a much broader range of comorbidities and diseases of aging. One response to this challenge is to venture beyond the boundaries of research that supports the healthcare industry. Toward this end, we introduce opportunities for research translation and knowledge transfer from NASA to the healthcare industry. Our intent is to show how NASA's approach to research can guide innovation for a smart medical home, most notably for AD and other diseases of aging. The article is organized in four major sections: (a) aggregating fragmented research communities; (b) lifestyle interventions in the medical home; (c) multiscale computational modeling and analysis; and (d) lifespan approach to precision brain health. We provide novel motivations and transformative paths to a diversity of specific lines of research, across communities, that would be difficult to discover in common methods of networking within research communities and even through sophisticated bibliographic methods. We thus reveal how knowledge transfer between the public and private sector can stimulate development of broader scientific communities and achieve a more

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A Rapid Review of How Model‐based Systems Engineering is Used in Healthcare Systems

Xames,

Topcu

2024

INCOSE International Symp

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This study presents the results from rapid review of how model‐based systems engineering (MBSE) is utilized in healthcare systems (HSs). We conduct a review of the last twelve years and find that MBSE adoption in HSs is accelerating, with use of various MBSE languages and tools, as well as their integration with other simulation and modeling techniques. We find that similar to engineered systems, the most common MBSE language is systems modeling language (SysML), followed by unified modeling language (UML) and others. Additionally, we observe that MBSE methods are frequently used in conjunction with other analytical techniques, such as simulation and co‐simulations, to analyze and enhance various HS operations, or to assist with making tradeoffs between HS attributes such as quality and cost. Moreover, we provide a non‐exhaustive classification of current research based on two dimensions: healthcare applications and MBSE use cases. Notably, MBSE is being implemented generally with patient‐centric objectives in various HS domains, including IoT‐enabled smart healthcare, clinical medicine, medical device development, healthcare process enhancement, and healthcare facilities management. While the primary MBSE use case involves modeling different aspects of healthcare operations, there is a significant number of studies that pursue requirements engineering, systems analysis, integration, verification and validation, as well as risk analysis and management. Furthermore, we identify two promising research gaps. First, there is a need for the integration of MBSE with state‐of‐the‐art data‐driven analytical methodologies such as hybrid simulation and artificial intelligence techniques. Second, HSs could greatly benefit from representing the cognitive functions and processes of human decision‐makers in the loop, such as healthcare providers (e.g., doctors and nurses), who are instrumental in sustaining the HS performance and functionality. We contend that MBSE and other SE methods and techniques could improve HSs design, operations, and management; while fostering resilience and long‐term sustainability.

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A Model-Based Systems Engineering Approach to Exploration Medical System Development

Cited by 14 publications

References 2 publications

A Methodology to Model Integrated Smart City System from the Information Perspective

A Methodology to Model Integrated Smart City System from the Information Perspective

Situated Precision Healthcare in the Smart Medical Home: Bringing NASA’s Research Strategy down to Earth

A Rapid Review of How Model‐based Systems Engineering is Used in Healthcare Systems

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