Cloud-Based Digital Twins’ Storage in Emergency Healthcare

IF 1.3 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING

International Journal of Networked and Distributed Computing Pub Date : 2023-08-27 DOI:10.1007/s44227-023-00011-y

Erdan Wang, Pouria Tayebi, Yeong-Tae Song

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引用次数: 0

Abstract

Abstract In a medical emergency situation, real-time patient data sharing may improve the survivability of a patient. In this paper, we explore how Digital Twin (DT) technology can be used for real-time data storage and processing in emergency healthcare. We investigated various enabling technologies, including cloud platforms, data transmission formats, and storage file formats, to develop a feasible DT storage solution for emergency healthcare. Through our analysis, we found Amazon AWS to be the most suitable cloud platform due to its sophisticated real-time data processing and analytical tools. Additionally, we determine that the MQTT protocol is suitable for real-time medical data transmission, and FHIR is the most appropriate medical file storage format for emergency healthcare situations. We propose a cloud-based DT storage solution, in which real-time medical data are transmitted to AWS IoT Core, processed by Kinesis Data Analytics, and stored securely in AWS HealthLake. Despite the feasibility of the proposed solution, challenges such as insufficient access control, lack of encryption, and vendor conformity must be addressed for successful practical implementation. Future work may involve Hyperledger Fabric technology and HTTPS protocol to enhance security, while the maturation of DT technology is expected to resolve vendor conformity issues. By addressing these challenges, our proposed DT storage solution has the potential to improve data accessibility and decision-making in emergency healthcare settings.

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基于云的数字孪生体在紧急医疗中的存储

在医疗紧急情况下，实时患者数据共享可以提高患者的生存能力。在本文中，我们探讨了如何将数字孪生(DT)技术用于紧急医疗保健中的实时数据存储和处理。我们研究了各种启用技术，包括云平台、数据传输格式和存储文件格式，以便为紧急医疗保健开发可行的DT存储解决方案。通过我们的分析，我们发现亚马逊AWS是最合适的云平台，因为它有成熟的实时数据处理和分析工具。此外，我们确定MQTT协议适合实时医疗数据传输，而FHIR是最适合紧急医疗状况的医疗文件存储格式。我们提出了一种基于云的DT存储解决方案，将实时医疗数据传输到AWS IoT Core，由Kinesis data Analytics进行处理，并安全存储在AWS HealthLake中。尽管提出的解决方案是可行的，但是要想成功地实际实现，必须解决诸如访问控制不足、缺乏加密和供应商一致性等挑战。未来的工作可能涉及Hyperledger Fabric技术和HTTPS协议，以增强安全性，而DT技术的成熟有望解决供应商一致性问题。通过解决这些挑战，我们提出的DT存储解决方案有可能改善紧急医疗保健环境中的数据可访问性和决策。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Journal of Networked and Distributed Computing COMPUTER SCIENCE, SOFTWARE ENGINEERING-

CiteScore

4.10

自引率

0.00%

发文量

审稿时长

13 weeks

期刊介绍： The International Journal of Networked and Distributed Computing publishes original articles on both theory and practice which address foundations, crucial challenges, state-of-the-art solutions and implications on all aspects of networked and distributed computing. As a driving force behind the ongoing technological revolution, networked and distributed computing has been transforming just about every part of the world we live in: the way we coordinate and communicate, the way we identify problems and solve them, the way we entertain and enjoy our lives and the way we perceive our future. Networked and distributed computing has touched on a wide range of issues with significant implications, from communication protocols, to the Internet, smartphones, pervasive and ubiquitous cities, etc. Like there are numerous benefits of networked and distributed computing, there are also crucial challenges associated with it. Networked and distributed computing should be more broadly applied to a variety of areas, such as robots, nano-technology, space/sea exploration, (green) energy management, etc. Ultimately, networked and distributed computing should lead to a better future, where distributed systems should help people to achieve their goals in an interoperable, secure, fast, usable and useful manner. Networked and distributed computing should answer what it is that we need, why we need it and how we can achieve it.