scholarly journals Internet Infrastructures and Health Care Systems: a Qualitative Comparative Analysis on Networks and Markets in the British National Health Service and Kaiser Permanente

2002 ◽  
Vol 4 (3) ◽  
pp. e21 ◽  
Author(s):  
Ann C Séror
2005 ◽  
Vol 33 (4) ◽  
pp. 660-668 ◽  
Author(s):  
Christopher Newdick

Most now recognize the inevitability of rationing in modern health care systems. The elastic nature of the concept of “health need,” our natural human sympathy for those in distress, the increased range of conditions for which treatment is available, the “greying” of the population; all expand demand for care in ways that exceed the supply of resources to provide it. UK governments, however, have found this truth difficult to present and have not encouraged open and candid public debate about choices in health care. Indeed, successive governments have presented the opposite view, that “if you are ill or injured there will be a national health service there to help; and access to it will be based on need and need alone.” And they have been rightly criticized for misleading the public and then blaming clinical and managerial staffin the National Health Service (NHS) when expectations have been disappointed.


10.2196/15816 ◽  
2020 ◽  
Vol 22 (3) ◽  
pp. e15816
Author(s):  
James Wilson ◽  
Daniel Herron ◽  
Parashkev Nachev ◽  
Nick McNally ◽  
Bryan Williams ◽  
...  

Research and innovation in biomedicine and health care increasingly depend on electronic data. The emergence of data-driven technologies and associated digital transformations has focused attention on the value of such data. Despite the broad consensus of the value of health data, there is less consensus on the basis for that value; thus, the nature and extent of health data value remain unclear. Much of the existing literature presupposes that the value of data is to be understood primarily in financial terms, and assumes that a single financial value can be assigned. We here argue that the value of a dataset is instead relational; that is, the value depends on who wants to use it and for what purposes. Moreover, data are valued for both nonfinancial and financial reasons. Thus, it may be more accurate to discuss the values (plural) of a dataset rather than the singular value. This plurality of values opens up an important set of questions about how health data should be valued for the purposes of public policy. We argue that public value models provide a useful approach in this regard. According to public value theory, public value is created, or captured, to the extent that public sector institutions further their democratically established goals, and their impact on improving the lives of citizens. This article outlines how adopting such an approach might be operationalized within existing health care systems such as the English National Health Service, with particular focus on actionable conclusions.


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