The Cost of Higher Education:Lessons to Learn from the Health Care Industry

1990 ◽  
Vol 22 (6) ◽  
pp. 8-15 ◽  
Author(s):  
Thomas W. Langfitt
Author(s):  
Smys S

The failures in the most of research area, identified that the lack of details about the actionable and the valuable data that conceived actual solutions were the core of the crisis, this was very true in case of the health care industry where even the early diagnoses of a chronic disease could not save a person’s life. This because of the impossibility in the prediction of the individual’s outcomes in the entire population. The evolving new technologies have changed this scenario leveraging the mobile devices and the internet services such as the sensor network and the smart monitors, enhancing the practical healthcare using the predictive modeling acquiring a deeper individual measures. This affords the researches to go through the huge set of data and identify the patterns along with the trends and delivering solutions improvising the medical care, minimizing the cost and he regulating the health admittance, ensuring the safety of human lives. The paper provides the survey on the predictive big data analysis and accuracy it provides in the health care system.


1986 ◽  
Vol 15 (3) ◽  
pp. 337-360 ◽  
Author(s):  
John Mohan

ABSTRACTThis paper discusses issues raised by the uneven expansion of private health care in Britain in recent years. The problems being experienced by the industry have exposed divisions in the private health care industry and have provoked criticisms of the Government and requests for a greater degree of state support for, and regulation of, the industry. The paper therefore examines the scope for changes of government policy to facilitate further expansion. It argues that few of the alternatives are either technically adequate, in terms of solving the private sector's problems, or politically feasible, in the sense of being electorally justifiable. It concludes that policies to further private sector expansion could be implemented only at the cost of the private sector's independence, or at the expense of the Government's commitment to the NHS.


1978 ◽  
Vol 12 (1) ◽  
pp. 44-47
Author(s):  
Marc R. Summerfield ◽  
Peter P. Lamy

Health care costs continue to spiral at a rate faster than the general economic sector, due to factors which uniquely affect the health care industry. Several of these factors are discussed. The effect of the spiraling costs are felt throughout all departments of the hospital. Recognition of the need for cost containment measures, by health professionals in addition to governmental laws and regulations and consumer pressures, have stimulated the search for more efficient methods of operation. If cost containment measures are not to affect the quality of care adversely, increases in productivity must be achieved and wasteful operations eliminated. The need for further research in these areas is cited.


Author(s):  
Smys S

The failures in the most of research area, identified that the lack of details about the actionable and the valuable data that conceived actual solutions were the core of the crisis, this was very true in case of the health care industry where even the early diagnoses of a chronic disease could not save a person’s life. This because of the impossibility in the prediction of the individual’s outcomes in the entire population. The evolving new technologies have changed this scenario leveraging the mobile devices and the internet services such as the sensor network and the smart monitors, enhancing the practical healthcare using the predictive modeling acquiring a deeper individual measures. This affords the researches to go through the huge set of data and identify the patterns along with the trends and delivering solutions improvising the medical care, minimizing the cost and he regulating the health admittance, ensuring the safety of human lives. The paper provides the survey on the predictive big data analysis and accuracy it provides in the health care system.


Author(s):  
Tommasina Pianese ◽  
Patrizia Belfiore

The application of social networks in the health domain has become increasingly prevalent. They are web-based technologies which bring together a group of people and health-care providers having in common health-related interests, who share text, image, video and audio contents and interact with each other. This explains the increasing amount of attention paid to this topic by researchers who have investigated a variety of issues dealing with the specific applications in the health-care industry. The aim of this study is to systematize this fragmented body of literature, and provide a comprehensive and multi-level overview of the studies that has been carried out to date on social network uses in healthcare, taking into account the great level of diversity that characterizes this industry. To this end, we conduct a scoping review enabling to identify the major research streams, whose aggregate knowledge are discussed according to three levels of analysis that reflect the viewpoints of the major actors using social networks for health-care purposes, i.e., governments, health-care providers (including health-care organizations and professionals) and social networks’ users (including ill patients and general public). We conclude by proposing directions for future research.


1982 ◽  
Vol 8 (3) ◽  
pp. 321-348
Author(s):  
Judy B. Chase

AbstractIn National Gerimedical Hospital and Gerontology Center v. Blue Cross of Kansas City, the United States Supreme Court held that there is no blanket exemption from antitrust laws for health planning activities.‘The Court also held that no specific immunity can be granted where the challenged health planning activity is not undertaken pursuant to a federal regulatory scheme. This Comment reviews the Court’s decision and concludes that the Court correctly determined that the challenged activities did not qualify for an exemption. The Comment also examines the implications of the Court's statement that, where Congress has manifested a belief that competition is ineffective in the health care industry, application of the antitrust laws should be modified. The Comment recommends that an intermediate review standard such as the “presumptive, incentive modifying approach” should be used by future courts in deciding whether the ineffectiveness of competition in a given area of health planning activity warrants immunity from antitrust scrutiny.


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