The novel emergency hospital services for patients using digital twins

Aluvalu, Rajanikanth; Mudrakola, Swapna; Maheswari, P. Uma; Kaladevi, A.C.; Sandhya, M.V.S; BHAT, C. ROHITH

doi:10.1016/j.micpro.2023.104794

Cited by 41 publications

(5 citation statements)

References 57 publications

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“…Furthermore, digital twins can serve as early warning systems by continuously monitoring patient data and identifying potential health risks or deviations from normal patterns [ 56 , 57 ]. By establishing baseline parameters for each patient, digital twins can detect anomalies or warning signs that may indicate the onset of a disease or adverse health event [ 58 ]. This early detection allows for timely interventions, proactive health care management, and prevention of complications [ 1 ].…”

Section: Predictive Modeling and Risk Assessmentmentioning

confidence: 99%

Envisioning the Future of Personalized Medicine: Role and Realities of Digital Twins

Vallée

2024

J Med Internet Res

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Digital twins have emerged as a groundbreaking concept in personalized medicine, offering immense potential to transform health care delivery and improve patient outcomes. It is important to highlight the impact of digital twins on personalized medicine across the understanding of patient health, risk assessment, clinical trials and drug development, and patient monitoring. By mirroring individual health profiles, digital twins offer unparalleled insights into patient-specific conditions, enabling more accurate risk assessments and tailored interventions. However, their application extends beyond clinical benefits, prompting significant ethical debates over data privacy, consent, and potential biases in health care. The rapid evolution of this technology necessitates a careful balancing act between innovation and ethical responsibility. As the field of personalized medicine continues to evolve, digital twins hold tremendous promise in transforming health care delivery and revolutionizing patient care. While challenges exist, the continued development and integration of digital twins hold the potential to revolutionize personalized medicine, ushering in an era of tailored treatments and improved patient well-being. Digital twins can assist in recognizing trends and indicators that might signal the presence of diseases or forecast the likelihood of developing specific medical conditions, along with the progression of such diseases. Nevertheless, the use of human digital twins gives rise to ethical dilemmas related to informed consent, data ownership, and the potential for discrimination based on health profiles. There is a critical need for robust guidelines and regulations to navigate these challenges, ensuring that the pursuit of advanced health care solutions does not compromise patient rights and well-being. This viewpoint aims to ignite a comprehensive dialogue on the responsible integration of digital twins in medicine, advocating for a future where technology serves as a cornerstone for personalized, ethical, and effective patient care.

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Section: Predictive Modeling and Risk Assessmentmentioning

confidence: 99%

Envisioning the Future of Personalized Medicine: Role and Realities of Digital Twins

Vallée

2024

J Med Internet Res

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“…This enables hospitals to evaluate the influence of any modifications or enhancements prior to their implementation in actual healthcare settings, leading to more efficient and effective healthcare delivery. In their work, R. Aluvalu [184] explores the application of DT technology to improve the Emergency Room Service (ERS) in hospitals. By employing digital twin replicas of patients and utilizing CPS devices and sensors, a virtual environment is created for the ERS.…”

Section: ) Smart Hospitals Infrastructurementioning

confidence: 99%

Empowering Healthcare With Cyber-Physical System—A Systematic Literature Review

Khater,

Sallabi,

Serhani

et al. 2024

IEEE Access

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Cyber-physical systems (CPS) are recognized for their intelligence as they seamlessly interact with humans, enhancing the physical world through computation, communication, and control. Over the last few years, the evolution of CPS, including IoT components, has significantly impacted many facets of people's lifestyles. It has been immersed in a wide range of services and applications in various areas, including manufacturing, healthcare, and energy. However, the interrelationship between the cyber and physical worlds gives rise to a multitude of research problems and challenges. In the healthcare field, for instance, CPS introduces complexities related to interoperability, privacy, data security, and real-time data processing with critical implications for the reliability and safety of medical processes. To address these challenges and harness the full potential of CPS in healthcare, this paper, through a comprehensive literature review, aims to discuss cutting-edge CPS technologies and solutions that hold promise for healthcare applications. To this end, we propose a comprehensive architectural model that can serve as a benchmark for implementing CPS in healthcare applications. This model thoroughly details how services, components, and technologies can be integrated to transform massive raw data collected from the physical world into valuable information for an enhanced decision-making process. Finally, a use case on healthcare CPS is presented, outlining its characteristics, the role that different technologies have played in its development, and the major challenges in implementing such systems successfully. This study provides a cohesive understanding of the role CPS can play in empowering healthcare while offering insights into the challenges, and future research trends.INDEX TERMS Cyber-physical systems, Healthcare, Real-Time processing, IoT.

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“…By connecting with real-world entities, it is able to gather real-time data on the current state of affairs, mimic real-life situations, simulate operational scenarios, make intelligent decisions, and relay this information back to the existing system for control interaction. This technology has found its way into various fields such as industry [22][23][24], culture [25,26], medicine [27][28][29], construction [30]; [31], and intelligent maritime transportation [32]. In the railway operation industry, digital twin technology can be leveraged to merge different data sources and models for monitoring [33], turnout management [34], diagnostics [35], and prognostics [36].…”

Section: Digital Twin Technologymentioning

confidence: 99%

Digital twin for multi-scenario emergency of railway passenger stations

Wang,

Bai,

et al. 2024

Front. Phys.

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Emergency disposal is a critical aspect for railway stations to ensure safety. This requires the implementation of emergency plan simulations and cost-effective immersive drills. In the paper, we incorporate a set of disposals for events into emergency processes and model the personnel, supplies, and equipment to create multiple emergency scenarios. Additionally, we introduce a digital twin-based solution for multiple scenarios of emergencies. This solution completely restores the key components of a station in the information space and provides an immersive way for emergency disposals. The four-dimensional model used in the solution simulates and interacts with the station, and it is composed of the details of passenger station physical entity, multi-scenario emergency virtual entity, digital twin connection, and emergency twin service. The digital twin for versatile emergency events such as fire disaster, natural disaster (e.g., flood, earthquake), social security incident, and public health event have been constructed using the model. The solution was tested at Qinghe, a station during Beijing-Zhangjiakou high-speed railway in China. By utilizing the actual operation data of Qinghe, we validated the multi-scenario emergency drills, simulated the corresponding emergency disposal plans, and assessed the proposed solution from three aspects: the fidelity of the real-world simulation, coverage of the multiple emergency scenarios, and the user-friendliness. The evaluations indicate that the proposed solution attains good score and the acceptable level of system usability scale.

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The novel emergency hospital services for patients using digital twins

Cited by 41 publications

References 57 publications

Envisioning the Future of Personalized Medicine: Role and Realities of Digital Twins

Envisioning the Future of Personalized Medicine: Role and Realities of Digital Twins

Empowering Healthcare With Cyber-Physical System—A Systematic Literature Review

Digital twin for multi-scenario emergency of railway passenger stations

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