scholarly journals The Role of the Sharing Economy and Artificial Intelligence in Health Care: Opportunities and Challenges (Preprint)

2019 ◽  
Author(s):  
Huailiang Wu ◽  
Nga-Kwo Chan ◽  
Casper J P Zhang ◽  
Wai-Kit Ming
Keyword(s):  
Artificial Intelligence ◽  
Health Care ◽  
Peer Relationships ◽  
Clinical Medicine ◽  
Health Care Systems ◽  
Sharing Economy ◽  
Care Systems ◽  
Near Future ◽  
Integration Analysis

UNSTRUCTURED Health care systems worldwide have been influenced by the globally growing trend toward a sharing economy and will likely advance with these trends in the near future. Therefore, based on peer-to-peer relationships between individuals, sharing health care works by renting medical staff, facilities, and other medical resources. Medical data innovation, integration, analysis, and sharing have the potential to dramatically change the current pattern of the health care system and to provide precise and predictive medical assessment for individuals in the future. In addition, artificial intelligence could be useful in the fields of both clinical medicine and medical research and help to minimize the scarcity of human resources and broaden the role of humans in health care.

scholarly journals The Role of the Sharing Economy and Artificial Intelligence in Health Care: Opportunities and Challenges

10.2196/13469 ◽  
2019 ◽  
Vol 21 (10) ◽  
pp. e13469 ◽  
Author(s):  
Huailiang Wu ◽  
Nga-Kwo Chan ◽  
Casper J P Zhang ◽  
Wai-Kit Ming
Keyword(s):  
Artificial Intelligence ◽  
Health Care ◽  
Peer Relationships ◽  
Clinical Medicine ◽  
Health Care Systems ◽  
Sharing Economy ◽  
Care Systems ◽  
Near Future ◽  
Integration Analysis

Health care systems worldwide have been influenced by the globally growing trend toward a sharing economy and will likely advance with these trends in the near future. Therefore, based on peer-to-peer relationships between individuals, sharing health care works by renting medical staff, facilities, and other medical resources. Medical data innovation, integration, analysis, and sharing have the potential to dramatically change the current pattern of the health care system and to provide precise and predictive medical assessment for individuals in the future. In addition, artificial intelligence could be useful in the fields of both clinical medicine and medical research and help to minimize the scarcity of human resources and broaden the role of humans in health care.

Health Care

2018 ◽  
Author(s):  
Pierre Pestieau ◽  
Mathieu Lefebvre
Keyword(s):  
Health Care ◽  
Technological Progress ◽  
Health Care Systems ◽  
Third Party ◽  
Medical Expenditure ◽  
Public Health Care ◽  
The Public ◽  
Common Features ◽  
Care Systems

This chapter reviews the public health care systems as well as their challenges. It first shows how expenditure on health care has evolved in previous decades and deals with the reasons for the growth observed in almost every European country. It emphasizes the role of technological progress as a main explanatory factor of the increase in medical expenditure but also points to the challenges facing cost-containment policies. Especially, the main common features of health care systems in Europe, such as third-party payment, single provider approach and cost-based reimbursement are discussed. Finally the chapter shows that although inequalities in health exist in the population, health care systems are redistributive. Reforms are thus needed but the trade-off between budgetary efficiency and equity is difficult.

scholarly journals A Comprehensive Study of Artificial Intelligence and Machine Learning Approaches in Confronting the Coronavirus (COVID-19) Pandemic

2021 ◽  
pp. 002073142110174
Author(s):  
Md Mijanur Rahman ◽  
Fatema Khatun ◽  
Ashik Uzzaman ◽  
Sadia Islam Sami ◽  
Md Al-Amin Bhuiyan ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Health Care ◽  
Language Processing ◽  
Probabilistic Models ◽  
Health Care Systems ◽  
Learning Approaches ◽  
Care Systems ◽  
Novel Coronavirus ◽  
Comprehensive Study

The novel coronavirus disease (COVID-19) has spread over 219 countries of the globe as a pandemic, creating alarming impacts on health care, socioeconomic environments, and international relationships. The principal objective of the study is to provide the current technological aspects of artificial intelligence (AI) and other relevant technologies and their implications for confronting COVID-19 and preventing the pandemic’s dreadful effects. This article presents AI approaches that have significant contributions in the fields of health care, then highlights and categorizes their applications in confronting COVID-19, such as detection and diagnosis, data analysis and treatment procedures, research and drug development, social control and services, and the prediction of outbreaks. The study addresses the link between the technologies and the epidemics as well as the potential impacts of technology in health care with the introduction of machine learning and natural language processing tools. It is expected that this comprehensive study will support researchers in modeling health care systems and drive further studies in advanced technologies. Finally, we propose future directions in research and conclude that persuasive AI strategies, probabilistic models, and supervised learning are required to tackle future pandemic challenges.

Oil and Health Care in Post-Soviet Azerbaijan

2013 ◽  
Vol 54 (1) ◽  
pp. 33-63 ◽  
Author(s):  
Sara Rzayeva
Keyword(s):  
Health Care ◽  
Social Context ◽  
Development Strategy ◽  
Health Care Systems ◽  
The Political ◽  
Neoliberal Globalization ◽  
National Health Care ◽  
Local Factors ◽  
Care Systems

AbstractHealth care systems reflect historical relationships between states and citizens, as well as predominant values and institutions marking a particular social milieu. Theories that place national health care in historical social context tend to exaggerate the forces of globalization and to underestimate the role of local specificities. A health care system and its social context, however, are shaped at the intersection of global, regional, and local factors, rather than by globalization alone. In this article I demonstrate this combined influence by tracking the transition in Soviet to post-Soviet health care Azerbaijan. I show that the dissolution of Azerbaijan’s socialized health care was due not to neoliberal globalization, but rather to the historical constellation of global, regional, and national processes, including the political choice of a petroleum-based development strategy.

Sign in / Sign up

Export Citation Format

Share Document