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The spectrum of medical errors: when patients sue

Overview of attention for article published in International Journal of General Medicine, July 2012
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21 Mendeley
Title
The spectrum of medical errors: when patients sue
Published in
International Journal of General Medicine, July 2012
DOI 10.2147/ijgm.s24257
Pubmed ID
Authors

Barry D Kels, Jane M Grant-Kels

Abstract

Inarguably medical errors constitute a serious, dangerous, and expensive problem for the twenty-first-century US health care system. This review examines the incidence, nature, and complexity of alleged medical negligence and medical malpractice. The authors hope this will constitute a road map to medical providers so that they can better understand the present climate and hopefully avoid the "Scylla and Charybdis" of medical errors and medical malpractice. Despite some documented success in reducing medical errors, adverse events and medical errors continue to represent an indelible stain upon the practice, reputation, and success of the US health care industry. In that regard, what may be required to successfully attack the unacceptably high severity and volume of medical errors is a locally directed and organized initiative sponsored by individual health care organizations that is coordinated, supported, and guided by state and federal governmental and nongovernmental agencies.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 5%
Unknown 20 95%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 24%
Other 3 14%
Researcher 3 14%
Student > Ph. D. Student 2 10%
Professor > Associate Professor 2 10%
Other 0 0%
Unknown 6 29%
Readers by discipline Count As %
Medicine and Dentistry 5 24%
Business, Management and Accounting 3 14%
Biochemistry, Genetics and Molecular Biology 2 10%
Engineering 2 10%
Psychology 1 5%
Other 2 10%
Unknown 6 29%