Harjula, E., Kumar, T. ., Islam, J. ., Ejaz, M. ., & Kovacevic, I. (2022). Distributed network and service architecture for future digital healthcare. Finnish Journal of EHealth and EWelfare, 14(1), 6–18. https://doi.org/10.23996/fjhw.111777
Distributed network and service architecture for future digital healthcare
|Author:||Harjula, Erkki1; Kumar, Tanesh1; Islam, Johirul1;|
1Centre for Wireless Communications – Networks and Systems, University of Oulu, Oulu
|Online Access:||PDF Full Text (PDF, 1 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe2022051034219
Finnish Social and Health Informatics Association,
|Publish Date:|| 2022-05-10
According to World Health Organization (WHO), the worldwide prevalence of chronic diseases increases fast and new threats, such as Covid-19 pandemic, continue to emerge, while the aging population continues decaying the dependency ratio. These challenges will cause a huge pressure on the efficacy and cost-efficiency of healthcare systems worldwide. Thanks to the emerging technologies, such as novel medical imaging and monitoring instrumentation, and Internet of Medical Things (IoMT), more accurate and versatile patient data than ever is available for medical use. To transform the technology advancements into better outcome and improved efficiency of healthcare, seamless interoperation of the underlying key technologies needs to be ensured. Novel IoT and communication technologies, edge computing and virtualization have a major role in this transformation. In this article, we explore the combined use of these technologies for managing complex tasks of connecting patients, personnel, hospital systems, electronic health records and medical instrumentation. We summarize our joint effort of four recent scientific articles that together demonstrate the potential of the edge-cloud continuum as the base approach for providing efficient and secure distributed e-health and e-welfare services. Finally, we provide an outlook for future research needs.
Finnish Journal of eHealth and eWelfare
|Pages:||6 - 18|
|Type of Publication:||
A1 Journal article – refereed
|Field of Science:||
213 Electronic, automation and communications engineering, electronics
217 Medical engineering
This research work was supported by Academy of Finland, under the DigiHealth and 6G Flagship Projects (grants 326291 and 346208).
|Academy of Finland Grant Number:||
326291 (Academy of Finland Funding decision)
346208 (Academy of Finland Funding decision)
Copyright (c) 2022 Finnish Journal of eHealth and eWelfare. Published under a CC BY 4.0 license (https://creativecommons.org/licenses/by/4.0/).