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Cloud-Based IoT Data Warehousing Technology for E-Healthcare: A Comprehensive Guide to E-Health Grids

Cloud-Based IoT Data Warehousing Technology for E-Healthcare: A Comprehensive Guide to E-Health Grids

Amaonwu Onyebuchi, Ugochukwu Okwudili Matthew, Jazuli Sanusi Kazaure, Godwin Nse Ebong, Charles Chinonso Ndukwu, Andrew Chinonso Nwanakwaugwu, Ogobuchi Daniel Okey
Copyright: © 2024 |Pages: 19
ISBN13: 9798369326398|EISBN13: 9798369326404
DOI: 10.4018/979-8-3693-2639-8.ch008
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MLA

Onyebuchi, Amaonwu, et al. "Cloud-Based IoT Data Warehousing Technology for E-Healthcare: A Comprehensive Guide to E-Health Grids." Pioneering Smart Healthcare 5.0 with IoT, Federated Learning, and Cloud Security, edited by Ahdi Hassan, et al., IGI Global, 2024, pp. 111-129. https://doi.org/10.4018/979-8-3693-2639-8.ch008

APA

Onyebuchi, A., Matthew, U. O., Kazaure, J. S., Ebong, G. N., Ndukwu, C. C., Nwanakwaugwu, A. C., & Okey, O. D. (2024). Cloud-Based IoT Data Warehousing Technology for E-Healthcare: A Comprehensive Guide to E-Health Grids. In A. Hassan, V. Prasad, P. Bhattacharya, P. Dutta, & R. Damaševičius (Eds.), Pioneering Smart Healthcare 5.0 with IoT, Federated Learning, and Cloud Security (pp. 111-129). IGI Global. https://doi.org/10.4018/979-8-3693-2639-8.ch008

Chicago

Onyebuchi, Amaonwu, et al. "Cloud-Based IoT Data Warehousing Technology for E-Healthcare: A Comprehensive Guide to E-Health Grids." In Pioneering Smart Healthcare 5.0 with IoT, Federated Learning, and Cloud Security, edited by Ahdi Hassan, et al., 111-129. Hershey, PA: IGI Global, 2024. https://doi.org/10.4018/979-8-3693-2639-8.ch008

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Abstract

This chapter concentrated on the digital economy evolution with particular emphasis on the electronic healthcare (e-healthcare) cloud enterprise data warehouse design. The research was inspired to provide a high-level technology computing framework for the development of health grid ecosystem for e-healthcare data flow implementation. The chapter provided a detailed discussions on how clinic data warehousing in combination with data mining techniques can improve various aspects of healthcare sector and health information and highlight the numbers of critical issues in the implementation of e-healthcare delivery. The research modelled an e-healthcare digital ecosystem for clinical record federation and provided gateway for accessibility to distinctive stakeholders in the e-healthcare system supply chain that concentrated on distribution of medical information required for healthcare analysis across the biomedical spectrum from public health to patient care through the development of cloud enterprise data warehouse technology in line with digital society extreme automation.

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