scholarly journals Will the COVID-19 pandemic boost access to personal health care records? Smartphone data access to tackle the modern pandemic

2020 ◽  
Vol 7 (1) ◽  
pp. 243-244
Author(s):  
Charles Edmund Breeze ◽  
Charlotte Murkin ◽  
Matt Lechner
2011 ◽  
Author(s):  
José Manuel Ortega Egea ◽  
María Victoria Román González

2011 ◽  
Author(s):  
José Manuel Ortega Egea ◽  
María Victoria Román González

1993 ◽  
Vol 32 (04) ◽  
pp. 272-273 ◽  
Author(s):  
A. L. Rector

Response to: Essin DJ. Intelligent processing of loosely structured documents as a strategy for organizing electronic health care records. Meth Inform Med 1993; 32: 265.


1993 ◽  
Vol 32 (04) ◽  
pp. 265-268 ◽  
Author(s):  
D. J. Essin

AbstractLoosely structured documents can capture more relevant information about medical events than is possible using today’s popular databases. In order to realize the full potential of this increased information content, techniques will be required that go beyond the static mapping of stored data into a single, rigid data model. Through intelligent processing, loosely structured documents can become a rich source of detailed data about actual events that can support the wide variety of applications needed to run a health-care organization, document medical care or conduct research. Abstraction and indirection are the means by which dynamic data models and intelligent processing are introduced into database systems. A system designed around loosely structured documents can evolve gracefully while preserving the integrity of the stored data. The ability to identify and locate the information contained within documents offers new opportunities to exchange data that can replace more rigid standards of data interchange.


1998 ◽  
Vol 4 (5) ◽  
pp. 419-425 ◽  
Author(s):  
Kathryn Whetten-Goldstein ◽  
Frank A Sloan ◽  
Larry B Goldstein ◽  
Elizabeth D Kulas

Comprehensive data on the costs of multiple sclerosis is sparse. We conducted a survey of 606 persons with MS who were members of the National Multiple Sclerosis Society to obtain data on their cost of personal health services, other services, equipment, and earnings. Compensation of such cost in the form of health insurance, income support, and other subsidies was measured. Survey data and data from several secondary sources was used to measure costs incurred by comparable persons without MS. Based on the 1994 data, the annual cost of MS was estimated at over $34 000 per person, translating into a conservative estimate of national annual cost of $6.8 billion, and a total lifetime cost per case of $2.2 million. Major components of cost were earnings loss and informal care. Virtually all persons with MS had health insurance, mostly Medicare/Medicaid. Health insurance covered 51 per cent of costs for services, excluding informal care. On average, compensation for earnings loss was 27 per cent. MS is very costly to the individual, health care system, and society. Much of the cost (57 per cent) is in the form of burdens other than personal health care, including earnings loss, equipment and alternations, and formal and informal care. These costs often are not calculated.


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