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Title Digital Twin Framework For Intelligent Healthcare Facilities Through Iso/Ieee 11073
ID_Doc 20202
Authors Estrela V.V.; Deshpande A.; Sroufer R.; Lopes R.T.; Grata E.G.H.; Andreopoulos N.; Terziev A.; Laghari A.A.
Year 2023
Published Intelligent Healthcare Systems
DOI http://dx.doi.org/10.1201/9781003196822-16
Abstract Digital twins (DTs) have become progressively more popular in contemporary years and may continue to get snowballing acceptance. This chapter uses the terminology Personal Health Devices (PHDs) as a simplification for the set of healthcare gadgets comprising on-body and in-body devices, i.e., wearables, injectables, implantable, ingestible, and other non-mainstream possibilities. The options for its use have increased because of the DT reframing as a living or non-living entity rather than an exact digital duplication of something tangible. In smart cities, the DT disrupts industrial processes while simultaneously extending health and well-being to drive the development of new healthcare services. A standardized DT design for health follows rules according to ISO/IEEE 11073 framework operating in a loop cycle, collecting data from personal health devices, analysing it, and delivering feedback to the stakeholder. It is possible to integrate not only X73-compliant PHDs but also non-compliant PHDs into the framework by attaching them to an X73 wrapper subsystem, as detailed in this chapter. It is also reported that a corresponding customizable mobile application has been built for any compatible device. Possible ecosystems and the X73 mobile applications must be experimented with to demonstrate the DT viability in smart societies’ well-being. In order to get insights into someone’s health and well-being and provide feedback to individuals and caregivers, promising outcomes and the prospective advantages of the proposed framework are given. © 2023 Taylor & Francis Group, LLC.
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