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Essay / Research Paper Abstract
This is a 4 page paper that provides an overview of the Google Health service. By using GH as a case study, the paper examines resistance to electronic medical records on a technological and cultural level. Bibliography lists 4 sources.
Page Count:
4 pages (~225 words per page)
File: KW60_KFhth003.doc
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Unformatted sample text from the term paper:
can be offered by integrating information technology systems into their operations. Of course, some industries have been slower to adopt the fully integrated use of such systems; for instance, the
health care industry, while historically embracing technological innovations as a means to improve the quality of care given to patients, has nevertheless maintained an almost slavish devotion to outdated standards
and methodologies as far as record-keeping and storing and communicating patients histories goes. For this reason, many have been pushing for the adoption of electronic medical records as a way
to increase the productivity of clinics, reduce costs, and bring record-keeping methodologies in line with the standards that have been adopted in other industries. Unfortunately, there has been a high
degree of resistance to the adoption of electronic medical records by those who feel that the information technology infrastructure accessible in most clinics would be insufficient to provide security and
protections for highly sensitive and private patient information. One recent development which casts this struggle into high relief is the rise and subsequent fall of Google Health. This paragraph helps
the student introduce Google Health, the topic of the paper. In 2008, Google, the information mega-corporation, introduced a new service which they referred to as Google Health (McBride, 2008). The
purpose of the service was to allow users to upload personal information and index this information with known metrics in order to have a place to conveniently track their own
care, in terms of their own exercise programs, diets, etc. For instance, an individual could upload his or her personal data such as height, weight, and calories consumed in a
day, and the service would allow for this data to be indexed with factors such as BMR, BMI, and nutritional information on food, so that the individual could monitor his
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