Cloud computing is useful for the healthcare sector since it reduces complexity, enables efficientadministration, and facilitates collaboration between the systems in healthcare sectors. This research seeksto examine the factors affecting the adoption of cloud computing in healthcare. It used three robust leastsquare estimation techniques such as S-estimation, M-estimation, and MM-estimation. The findings suggestthat the determinants of adoption of cloud computing are similar to other business institutions such ascompatibility, technological preparedness, complexity, security, competitive constraints, savings on costs,assistance to senior management, vendor assistance.
Healthcare is among the most advanced industries when it comes to embracing and adopting moderntechnology in some way. Cloud computing approaches, in conjunction with the Internet of Things, areadvantageous to extract information from healthcare records. In many cases, cloud computing combinedwith IoT and AI will pave the way for new avenues of medical innovation and insight. Cloud computing'sgrowing acceptance in healthcare extends much beyond simply storing data on cloud infrastructure.Healthcare providers are already embracing this technology to increase efficiency, optimize processes,reduce healthcare costs. The objective of this research was to investigate whether the deployment of cloudcomputing can assist in reducing operational costs in healthcare centers. We used panel data ranging from2008 to 2019 for 156 healthcare centers. The Fixed Effect (FE) model and Random Effect (RE) modelhave been employed. The results suggest that the deployment of cloud computing significantly assists inreducing the operational costs in healthcare centers.
Cloud computing is still in its early stage. There are several companies, both big and small, that provide a diverse range of cloud-based services. There are several types of apps, such as complete programs, support services, mail filtering services, and storage services. IT professionals have become used to using some of the many cloud-based services as business requirements required. Cloud computing aggregators and integrators, on the other hand, are already developing, providing bundles of goods and services as a single point of access to the cloud. This research attempts to explore the current limitations and future trends of cloud computing. More specifically, this research discusses current limitations such as limited control, Cloud outage, Vendor lock-in, Cloud security, Energy consumption and the future trends to combat these limitations such as Edge computing, Hybrid and Multi-Cloud solutions, green cloud computing, serverless computing.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.