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    A Hierarchical Business Model for Translating Digital Twins: A Case Study for Health Care Applications From Research to Market

    Source: ASME Open Journal of Engineering:;2026:;volume( 005 ):;issue:00::page 172
    Author:
    Nisar, Syed Anas
    ,
    Arulkumar, Rohan
    ,
    Jones, Brian
    ,
    Banerjee, Debjyoti
    DOI: 10.1115/1.4064961
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Abstract. Digital twins (DTs) are rapidly emerging as a transformative technology in health care, offering real-time, data-driven simulations of organs, patients, and hospital systems. These virtual models enhance the accuracy of predictive diagnostics, the effectiveness of personalized therapies, and operational efficiencies; thus, making them a strategic asset for both clinical care and business considerations. While these technologies originated in aerospace and manufacturing, health care applications of DT are accelerating significantly, primarily driven by advances in artificial intelligence (AI), cloud computing, and wearable sensors (e.g., IoT: Internet of Things). The global market for DT in health care applications is projected to grow from $2.7 billion in 2024 to nearly $60 billion by 2030, signaling a shift in how health care is delivered, funded, and optimized. This study is focused on developing a structured four-stage framework for translating DT innovation into scalable clinical solutions, from early-stage research and pilot programs to commercialization and full-scale hospital integration. The authors compared platforms established by enterprises with those developed by startups. By exploring a case study of a DT for cardiovascular applications, the role of targeted value propositions, regulatory alignment, and staged funding strategies is illustrated. Key enablers such as “software as a medical device pathway,” AI, and interoperability standards (e.g., for IoT) are discussed alongside business model design and stakeholder alignment. The results of this case study can provide a practical roadmap for entrepreneurs, investors, and corporate leaders in the health care sector. This case study can provide a pathway for professionals aiming to capitalize on the convergence of digital health, personalized medicine, and value-based care. These topics related to DT are to fostering innovative organizational strategies and essential for addressing business imperatives that are redefining competitive advantages.
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      A Hierarchical Business Model for Translating Digital Twins: A Case Study for Health Care Applications From Research to Market

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4315883
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    contributor authorNisar, Syed Anas
    contributor authorArulkumar, Rohan
    contributor authorJones, Brian
    contributor authorBanerjee, Debjyoti
    date accessioned2026-08-23T07:58:26Z
    date available2026-08-23T07:58:26Z
    date copyright2026/01/01
    date issued2026
    identifier otheraoje-25-1131.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4315883
    description abstractAbstract. Digital twins (DTs) are rapidly emerging as a transformative technology in health care, offering real-time, data-driven simulations of organs, patients, and hospital systems. These virtual models enhance the accuracy of predictive diagnostics, the effectiveness of personalized therapies, and operational efficiencies; thus, making them a strategic asset for both clinical care and business considerations. While these technologies originated in aerospace and manufacturing, health care applications of DT are accelerating significantly, primarily driven by advances in artificial intelligence (AI), cloud computing, and wearable sensors (e.g., IoT: Internet of Things). The global market for DT in health care applications is projected to grow from $2.7 billion in 2024 to nearly $60 billion by 2030, signaling a shift in how health care is delivered, funded, and optimized. This study is focused on developing a structured four-stage framework for translating DT innovation into scalable clinical solutions, from early-stage research and pilot programs to commercialization and full-scale hospital integration. The authors compared platforms established by enterprises with those developed by startups. By exploring a case study of a DT for cardiovascular applications, the role of targeted value propositions, regulatory alignment, and staged funding strategies is illustrated. Key enablers such as “software as a medical device pathway,” AI, and interoperability standards (e.g., for IoT) are discussed alongside business model design and stakeholder alignment. The results of this case study can provide a practical roadmap for entrepreneurs, investors, and corporate leaders in the health care sector. This case study can provide a pathway for professionals aiming to capitalize on the convergence of digital health, personalized medicine, and value-based care. These topics related to DT are to fostering innovative organizational strategies and essential for addressing business imperatives that are redefining competitive advantages.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleA Hierarchical Business Model for Translating Digital Twins: A Case Study for Health Care Applications From Research to Market
    typeJournal Paper
    journal volume5
    journal titleASME Open Journal of Engineering
    identifier doi10.1115/1.4064961
    journal fristpage172
    journal lastpage194
    page23
    treeASME Open Journal of Engineering:;2026:;volume( 005 ):;issue:00
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
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