Intelligent applications of cloud computing in enhancing health care services

Schaefer, Laura

doi:10.1016/j.ijin.2020.11.004

Cited by 11 publications

(2 citation statements)

References 7 publications

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“…Intelligent health information service evolved from digital health information service, which is an expression of the interdisciplinary field of intelligent health (Ma and Zhou, 2018). The use of modern information technology and intelligent technology to improve the traditional medical and health management model is at the core of intelligent health, while intelligent health information service emphasizes wisdom, utilizing cloud computing, artificial intelligence, the Internet of Things, sensors, and other advanced technologies to achieve personalized, convenient, networked, and intelligent health information services (Schaefer and Atreya, 2020). Because the intelligent health information service is still in its early stages of development, academics have yet to establish a rigorous and consistent conceptual framework.…”

Section: Resultsmentioning

confidence: 99%

Digital Nursing Quality Management: A Concept Analysis

Han

Bai

Zhang

et al. 2023

Preprint

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Background: The rapid advancements in digital technology and its increasing integration into healthcare create an opportunity to leverage these innovations for enhancing nursing quality management. Objective: This paper aims to report the results of a concept analysis of digital nursing quality management. Methods: Rodgers' Evolutionary Method of concept analysis was used to examine the attributes, antecedents, consequences, and related concepts of digital nursing quality management. Findings: Digital Nursing Quality Management is a strategic management approach that systematically utilizes evolving digital technology to pursue optimal nursing quality, guided by the timeless principle of humanistic care. The defining attributes are human-machine collaborativeness, interactive empowerment, and digital ecosystem. Discussion: Incorporating Digital Nursing Quality Management as a supplement to traditional quality management approaches could contribute to improved patient care and healthcare outcomes. Consequently, Digital Nursing Quality Management should receive increased attention in nursing practice, education, and research. Standardized definitions of digital nursing quality management should guide future research and policy development.

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Section: Resultsmentioning

confidence: 99%

Digital Nursing Quality Management: A Concept Analysis

Han

Bai

Zhang

et al. 2023

Preprint

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“…ese biological data can be used in diagnosis, interpretation, and proactive action in several scenarios through early prescription of medicine to patients. For instance, regularly evaluating glucose levels or heart rate after a clinical surgery is critical in assessing the recovery status of patients, particularly elderly patients [32]. Several works have been done in wearable health monitoring.…”

Section: Applications Of Cloud Computing In Healthcarementioning

confidence: 99%

A Review of Evolutionary Trends in Cloud Computing and Applications to the Healthcare Ecosystem

Molo

Badejo

Adetiba

et al. 2021

Applied Computational Intelligence and Soft Computing

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Cloud computing is a technology that allows dynamic and flexible computing capability and storage through on-demand delivery and pay-as-you-go services over the Internet. This technology has brought significant advances in the Information Technology (IT) domain. In the last few years, the evolution of cloud computing has led to the development of new technologies such as cloud federation, edge computing, and fog computing. However, with the development of Internet of Things (IoT), several challenges have emerged with these new technologies. Therefore, this paper discusses each of the emerging cloud-based technologies, as well as their architectures, opportunities, and challenges. We present how cloud computing evolved from one paradigm to another through the interplay of benefits such as improvement in computational resources through the combination of the strengths of various Cloud Service Providers (CSPs), decrease in latency, improvement in bandwidth, and so on. Furthermore, the paper highlights the application of different cloud paradigms in the healthcare ecosystem.

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