scholarly journals Role of Treatment Theory and Enablement Theory for Restoring Health and Rehabilitation in Saudi Arabia

Cureus ◽  
2020 ◽  
Author(s):  
Abdulaziz M Alsufyani
Author(s):  
Saad Alhumaidi ◽  
Abdullah Alshehri ◽  
Abdullah Altowairqi ◽  
Ahmad Alharthy ◽  
Bader Malki

2019 ◽  
Vol 20 (2) ◽  
pp. 37-41
Author(s):  
Maftuna Sanoqulova ◽  

This article consists of the politics which connected with oil in Saudi Arabia after the World war II , the relations of economical cooperations on this matter and the place of oil in the history of world economics


Healthcare ◽  
2021 ◽  
Vol 9 (7) ◽  
pp. 834
Author(s):  
Magbool Alelyani ◽  
Sultan Alamri ◽  
Mohammed S. Alqahtani ◽  
Alamin Musa ◽  
Hajar Almater ◽  
...  

Artificial intelligence (AI) is a broad, umbrella term that encompasses the theory and development of computer systems able to perform tasks normally requiring human intelligence. The aim of this study is to assess the radiology community’s attitude in Saudi Arabia toward the applications of AI. Methods: Data for this study were collected using electronic questionnaires in 2019 and 2020. The study included a total of 714 participants. Data analysis was performed using SPSS Statistics (version 25). Results: The majority of the participants (61.2%) had read or heard about the role of AI in radiology. We also found that radiologists had statistically different responses and tended to read more about AI compared to all other specialists. In addition, 82% of the participants thought that AI must be included in the curriculum of medical and allied health colleges, and 86% of the participants agreed that AI would be essential in the future. Even though human–machine interaction was considered to be one of the most important skills in the future, 89% of the participants thought that it would never replace radiologists. Conclusion: Because AI plays a vital role in radiology, it is important to ensure that radiologists and radiographers have at least a minimum understanding of the technology. Our finding shows an acceptable level of knowledge regarding AI technology and that AI applications should be included in the curriculum of the medical and health sciences colleges.


Author(s):  
Nada Zwayyid Almutairi ◽  
Eman Salah Ibrahim Rizk

This study explores interactive e-book cues and Information Processing Levels (IPL)’s effectiveness on Learning Retention (LR) and External Cognitive Load (ECL). 117 middle school pupils (MSP) were divided into six experimental groups based on their IPL and cues during the second term of the academic year 2019–2020. Visual Cues (VC)/Audiovisual Cues (VAC) and Auditory Cues (AC)/Audiovisual Cues (VAC) statistically varied in the Ie-book in LR test and ECL scale, same for the average scores when testing the LR in Science for MSP due to the difference between IPL for the DL. There is a statistically significant effect of cue types' interaction in Ie-book with IPL in ECL scale for MSP, at its highest peak in the case of the AVC with DL, followed by the interaction resulting from the VC with DL then AC with SL. Also, cues interaction in Ie-book with IPL immensely affect the LR test for MEP, which is at its highest peak in the case of the AVC with DL. The interactions between (DL–SL) and (AC–VC) seem to equally influence the ELC.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mohammad Asif Salam ◽  
Saleh Bajaba

Purpose The purpose of this study is to investigate the role of the COVID-19 health-care system quality (HSQ) and its impact on the individual (satisfaction) and social (quality of life [QOL]) outcomes in the context of a transformative health-care delivery system using service-dominant logic (SDL). Design/methodology/approach A sample consisting of 1,008 individuals who have experienced the COVID-19 health-care system was drawn from four different regions of Saudi Arabia using the simple random sampling technique. The survey was conducted using an online survey and 1,008 respondents answered, based on their experience and knowledge of the COVID-19 health-care system. Partial least squares structural equation modeling was applied to test the proposed research model. Findings The study findings suggest that service system satisfaction (SAT) significantly mediates the role of the HSQ in delivering and enhancing the QOL. HSQ also has a significant role to play on the SAT as well as the QOL. These findings contribute to the body of knowledge on SDL in the context of HSQ in understanding the significant role of technologies can play in enhancing service satisfaction and better QOL during a crisis such as COVID-19. This study also improves the understanding of the importance of customer-centricity, real-time visibility through tracking and tracing of service flow, agile decision-making, fewer but better-defined service objectives, and finally shaping mindsets and behaviors of all the relevant parties involved in the HSQ service delivery process. Research limitations/implications One of the major limitations of this study is that, although COVID-19 is an ongoing global pandemic, cross-sectional data were collected in only one country. The findings may not be generalizable across subsequent waves of the pandemic. The best practices of HSQ could be studied around the globe and the results used to support continuous improvement. Originality/value This study advances the understanding of the SDL in the context of a transformative health-care system for a transitional economy by focusing on individual and social well-being during an unexpected crisis such as the COVID-19 pandemic. This study also contributes toward the understanding of the roles of enabling technologies to improve the service delivery system which results in an improved SAT, as well as better QOL for the society at large. Based on SDL this research validates the HSQ model, relevant measures and its overall impact on SAT and QOL in the context of a transformative health-care service system in Saudi Arabia.


2017 ◽  
Vol 9 (2) ◽  
pp. 187
Author(s):  
Wided Ragmoun ◽  
Abdullah Alwehabie

This study aims to understand the role of HRM on academic innovativeness. We will try to identify the adequate policy of HRM for the development of academic innovativeness.The most important is the way in which HRM will be treated as a composite construct of many practices, working in synergistic way, to generate a capacity of innovation or innovativeness according to our definition presented here.Our interest is oriented to the academic field due to importance of its role on social development. And our interest is oriented to the ability to innovate rather than innovation which still difficult to identify and measure. Academic innovativeness here is represented by five dimensions: behavior, product, process, market and strategic innovativeness.The analyze of the variance explained for our variables, provides empirical evidence that the academic innovativeness depends in majority on behavioral dimension and process. The HRM policy in this case is a distinct construction which depends on training and promotion. Added to this, some relations here must be revisited specially the link between behavior dimension of academic innovativeness and the policy of HRM as a construct.At the end of this research, we propose what we have called `the one best way` of academic innovativeness. Our theory model can be considered as user`s guide for academics to innovate based on HRM policy. 


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