health cloud
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2022 ◽  
pp. 1-16
Author(s):  
Mohammed Nasser Al-Suqri

The chapter provides an in-depth overview and analysis for developing policies and strategies for managing a pandemic based on information and data. While looking for the credibility of an information source, various parameters are subjected for considerations (i.e., infection and death rates per given time, availability of personal protective equipment [PPE], overall population attitude, current strategy response rate, society behaviors, outcomes of policies interventions for curbing the spread of the virus, and many more). To critically analyze pandemic information and data usage along with issues and challenges that arise in collecting, extracting, or using various forms of information and data for pandemic management, numerous national action plans, world health databases, pandemic monitoring smart applications, government published infection-to-death ratios, and health cloud services are interpreted and discussed.


2021 ◽  
pp. 27-34
Author(s):  
Ahmet Durmić ◽  
Ajna Fetić ◽  
Dženan Bejdić ◽  
Mejra Dizdarević ◽  
Harun Bečić ◽  
...  
Keyword(s):  

Life ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. 310
Author(s):  
Shih-Chia Chang ◽  
Ming-Tsang Lu ◽  
Tzu-Hui Pan ◽  
Chiao-Shan Chen

Although the electronic health (e-health) cloud computing system is a promising innovation, its adoption in the healthcare industry has been slow. This study investigated the adoption of e-health cloud computing systems in the healthcare industry and considered security functions, management, cloud service delivery, and cloud software for e-health cloud computing systems. Although numerous studies have determined factors affecting e-health cloud computing systems, few comprehensive reviews of factors and their relations have been conducted. Therefore, this study investigated the relations between the factors affecting e-health cloud computing systems by using a multiple criteria decision-making technique, in which decision-making trial and evaluation laboratory (DEMATEL), DANP (DEMATEL-based Analytic Network Process), and modified VIKOR (VlseKriterijumska Optimizacija I Kompromisno Resenje) approaches were combined. The intended level of adoption of an e-health cloud computing system could be determined by using the proposed approach. The results of a case study performed on the Taiwanese healthcare industry indicated that the cloud management function must be primarily enhanced and that cost effectiveness is the most significant factor in the adoption of e-health cloud computing. This result is valuable for allocating resources to decrease performance gaps in the Taiwanese healthcare industry.


2020 ◽  
Author(s):  
Mengsha Qi ◽  
shuyun liu ◽  
Yuchan Wang ◽  
Jun Liu ◽  
Liguo Wu ◽  
...  

Abstract Background: The study aimed to explores the effects that a new management method for prevention and control of COVID-19 in the general hospital.Methods: The study conducted empirical research to explores the effect of the service system and the supervision in the prevention and control of COVID-19 in the general hospital in China. Results: By comparing the efficiency, we can see that using the service system, combined with the grid partition grading supervision, can effectively prevent cross-infection in the hospital, protect the physical and mental health of medical staff. Conclutions: Constructing the health cloud platform management service system combined with the grid partition grading supervision has a significant effect in preventing cross-infection in the hospital and protecting the physical and mental health of medical staff during the COVID-19 outbreak.


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