Search
Search Results
-
Health Cooperation in light of crises and sanctions in Developing Countries. (Case study in Syria)
3-32Views:94The methods, mechanisms, and plans for international health cooperation are still vague. However, many studies have confirmed that political affairs have great impacts on health bodies and organizations. Accordingly, the current study focuses on a special case which is the 13-year Syrian crisis, under the semi-collapse of the health system, foreign sanctions, and the unprecedented high demand for public health services. Hence, the problem can be expressed by the following question: Has health cooperation contributed to achieving social results during the Syrian crisis period under the increasing demand for health services? On the other hand, the study aimed to illustrate the reality of health cooperation (global, macro, micro) in the Syrian government areas, which suffer from external sanctions. Moreover, it aims to study, analyze, and predict the demand for health services in Syria (Latakia (using artificial intelligence models represented by the Facebook profit model and illustrating the social consequences of health cooperation in these areas. However, the descriptive analytical approach was used and artificial intelligence models were applied to analyze and predict data using Python. Accordingly, the study has an important set of results including: The economic sanctions imposed on the Syrian government during the current war have had a great impact on the economic situation in general, and the health sector in particular leading to a weak health system. Furthermore, the demand for health services in Latakia public hospitals increased significantly because of people displacement, in addition to high levels of poverty. Health cooperation in Syria has not resulted in effective social returns or to be able to encounter growing demand and minimize citizens’ burdens. Finally, artificial intelligence models are highly efficient and credible in predicting health demand, which contributes to the development of plans and strategies.
-
The complex impact of artificial intelligence on physician-patient connection
35-36Views:73The doctor-patient relationship can be regarded as an integral segment of social support that possesses relevant therapeutic impact. Recently, the doctor-patient relationship has been reshaped basically that has been accelerated by health digitalization.
-
Emphasizing the role of AI and telehealth in improving treatment outcomes among elderly patients
82-83Views:142To establish the right diagnosis and treatment plan for a patient is at the core of any medical procedure but this is not without the need for utmost compliance of the patient. This is the case with the elderly when they do not understand their diagnosis, nor do they fully recognize the importance of adhering to the prescribed treatment plan. This study emphasizes the role of artificial intelligence and telehealth in achieving significant treatment compliance among elderly patients.
-
Is there a synergy between artificial intelligence, Erasmus+ PEER-TRAIN training and MoodleCloud?
64-65Views:74Artificial intelligence can be used in the teaching and training process to provide a personalized approach to each student. Erasmus+ PEER-TRAIN training focuses on developing the skills of teachers and trainers who work with youth and adults in the field of education and training.
-
Redefining nursing skills in AI and robotisation, with a particular focus on conditions requiring long-term care
126-145Views:381Owing to the enormous improvements in health and lifestyle over the last century, the average age has increased. Although longevity is an important achievement of the modern age, it is a challenge for the care of an ageing population. As people in the richest parts of the world live longer, there is a growing shortage of carers for an ageing population. This paper reviews the literature and describes the global challenges of caregiving, future issues in elderly care, the emergence of robotization in the field of nursing care and how this can contribute to improving the quality of care for the older people. It also discusses the experience of using robots in international and domestic elderly care and briefly describes how the use of AI-based technology has contributed to improving the effectiveness of care in the context of the coronavirus epidemic. The paper concludes by presenting a vision and directions for training development for Advance Practice Nurses, Register Nurses and post-secondary nurses, and other health care professionals to improve attitudes, enhance knowledge, and develop services to improve elderly care.
-
Cooperation in the health sector and its social implications in light of the increasing demand for health services during crises a field study of health cooperation in the Syrian crisis
11-12Views:81Although health cooperation is not a modern concept, trends to study it increased significantly after the coronavirus pandemic. The methods, mechanisms, and plans for international health cooperation are still vague.
-
Gerontological perspectives of Big Data analysis of mobile-based health data
62-63Views:98The mass proliferation of smartphones with the features of general purpose computers is a major challenge for the iPhone in 2007. Medical use of these devices started in 2009 and today there are around 350,000 health apps in the world, are available, with hundreds of hundreds of millions of them, and they have more than 10 million users. Studies show that users are becoming more open to health apps and related mobile phone peripherals, use of assets (e.g. activity trackers).