ABSTRACT
The advancement of digital transformation in virtual healthcare technologies have increased exponentially, creating a diverse range of state-of-The-Art devices and software to optimize the revealed limitations within the healthcare industry. The recent trends in virtual healthcare was enhanced during COVID-19 pandemic which fostered the development of metaverse, a virtual space that forms digital identities and interfaces consisting of an interconnected network of digital devices. Metaverse can act as multi-scale layer of advanced computer-human interaction and can provide new opportunities for digitalized healthcare system. It can provide a wide range of assistance through medical examinations, meetings regarding mental well-being, and clinical appointments. Since the patient medical data is fully digitalized, metaverse offers a space in which artificial intelligence and augmented reality-Assisted telehealth can function optimally. The accurate medical data provided by the wearable biomedical devices with the integration of metaverse and augmented reality technologies is becoming the efficient way of the telemedicine approach. While the digitalization of healthcare system within metaverse can ease the burden on conventional healthcare, the security of digital patient medical data becomes one of the main concerns for the proposed metaverse implementations. In this study, several aspects of the proposed implementation process of the embedded Esantem smart healthcare system in the metaverse, including the adaptations of conventional healthcare in metaverse, the opportunities for advanced human-computer interaction, and the handling of wearable biomedical device medical data and its security in a digital environment are examined. In addition, the main limitations against the development of such an implementation are unveiled with possible solutions such as blockchain for the security of patient data for future research directions. © 2022 IEEE.
ABSTRACT
The age of virtual healthcare has created new opportunities to reconsider traditional methods for the preliminary medical examinations and clinical doctor-patient appointments. The COVID-19 pandemic has forced medical systems for strengthening online services in each medical field. Implementations of novel digital health technologies will dramatically reduce inessential hospital visits of patients for early diagnosis. Moreover, the telehealth based medical platforms will allow the medical services to be time- and cost-effective with convenient media for both patients and doctors. In this study, an internet of medical things (IoMT)-based smart healthcare monitoring platform architecture is proposed to remotely telecommunicate with optimized bandwidth efficiency and latency for a rapid decision-making process management for preliminary diagnosis in a virtual environment. The proposed edge-IoMT computing architecture framework will allow filtering and squeezing of raw medical data of the real-time video footage of the patients with functional algorithms. © 2020 IEEE.