A Review of Data on the U.S. Health Sector Fall 2002

2003 ◽  
Vol 33 (1) ◽  
pp. 173-192
Author(s):  
Ida Hellander

This report presents information on the state of U.S. health care in mid-2002. It provides data on the uninsured and underinsured and their difficulties in finding health care; the increasing costs of care; health, social, and economic inequalities; and the role of corporate money in health care. Information is also presented on mental health care, the hospital and pharmaceutical industries, Medicare HMOs, and the state of nursing. The author then provides updates on Congressional activity and the results of polls on matters of health, and some data on health care systems elsewhere in the world.

2002 ◽  
Vol 32 (3) ◽  
pp. 579-599 ◽  
Author(s):  
Ida Hellander

This report presents data on the state of U.S. health care at the end of 2001. It provides information on access to health care, inequalities in incomes and medical care, the increasing costs of health care and health insurance, and the role of corporate money in the provision of health care and the development, marketing, and patenting of pharmaceuticals. The author also looks at the state of health maintenance organizations, the results of some recent surveys on physicians' and public opinion on managed care, and news about the nursing professions. Also provided is an update on Congressional activity on health care legislation, the role of health care industry money in politics, and some developments in health care systems elsewhere in the world.


The unpredictable amount of data generated everyday by smart phones, social networks, health care systems etc. is really mind blowing. Smart phones alone generate 335exabytes of data ineveryyear that is really big data.Thus, the storage industry is facing several challenges in providing high magnitude of storage and retrieval devices at lowest costs which help to fulfill the requirements of big data and even technologies like de-duplication on storage devices are also becoming very important. Similarly, in recent days storing and retrieving the health care information in biomedical area is also becoming a great challenge in providing the best optimum data because of its huge amount of biomedical datasets. In order to achieve efficiency in providing highest quality health care information, an optimized index scheme is needed for big data which is based on accuracy and timelines. The existing indexing and optimization solutions are not enough to meet the emerging grow of index size and seek time. The objective of this paper is to identify better indexing solutions by investigating the basic big data requirements on indexing and optimization. This also includes a comparative study of various indexing and optimization techniques along with a taxonomy which contains Artificial Intelligence (AI) and Non Artificial Intelligence (NAI) based indexing techniques, optimization enhancement techniques which improves the performance efficiency of big data health care informatics.


2017 ◽  
Vol 1 (1) ◽  
pp. 41
Author(s):  
Angeliki Moisidou

A statistical analysis has been conducted with the aim to elucidate the effect of health care systems (HSs) on health inequalities assessed in terms of (a) differential access to health care services and (b) varying health outcomes among different models of HSs in EU-15 ((Beveridge: UK, IE, SE, FI, DK), (Bismarck: DE, FR, BE, LU, AT, NL), (Southern European model: GR, IT, ES, PT)). In the effort to interpret the results of the empirical analysis, we have ascertained systematic differences among the HSs in EU-15. Specifically, it is concluded that countries with Beveridge HS can be characterized more efficient (than average) in the most examined correlations, showing particularly high performance in the health sector. Similarly, countries with Bismarck HS record fairly satisfactory performance, but simultaneously they display more structural weaknesses compared with the Beveridge model. In addition, our empirical analysis has shown that adopting Bismarck model requires higher economic cost, compared with the Beveridge model, which is directly financed by taxation. On the contrary, in the countries with Southern European HS, the lowest performances are generally identified, which can be attributed to the residual social protection that characterizes these countries. The paper concludes with a synthesis of the empirical findings of our research. It proposes some directions for further research and presents a set of implications for policymakers regarding the planning and implementation of appropriate policies in order to tackle health inequality within HSs.


Author(s):  
Pierre Pestieau ◽  
Mathieu Lefebvre

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.


Author(s):  
Gørill Haugan ◽  
Monica Eriksson

AbstractThe Covid-19 pandemic has demonstrated the vulnerability of our health care systems as well as our societies. During the year of 2020, we have witnessed how whole societies globally have been in a turbulent state of transformation finding strategies to manage the difficulties caused by the pandemic. At first glance, the health promotion perspective might seem far away from handling the serious impacts caused by the Covid-19 pandemic. However, as health promotion is about enabling people to increase control over their health and its determinants, paradoxically health promotion seems to be ever more important in times of crisis and pandemics. Probably, in the future, pandemics will be a part of the global picture along with the non-communicable diseases. These facts strongly demand the health care services to reorient in a health promoting direction.The IUHPE Global Working Group on Salutogenesis suggests that health promotion competencies along with a reorientation of professional leadership towards salutogenesis, empowerment and participation are required. More specifically, the IUHPE Group recommends that the overall salutogenic model of health and the concept of SOC should be further advanced and applied beyond the health sector, followed by the design of salutogenic interventions and change processes in complex systems.


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