Automated Medical Algorithms: Issues for Medical Errors
نویسندگان
چکیده
منابع مشابه
Automated Medical Algorithms: Issues for Medical Errors
Medical errors can be reduced by the sharing of medical information and the correct application of medical information. A wealth of medical information exists in the form of published medical algorithms. These algorithms represent a summary of medical research ranging from simple calculations such as Body-Mass Index to complex outcome predictions. Application of such algorithms can generate inf...
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MEDICAL ERRORS ARE THE FIFTH LEADING CAUSE OF DEATH IN THE United States and result in annual costs of up to $29 billion, according to estimates from the Institute of Medicine (IOM). These figures suggest that medical mistakes occur commonly in medical practice. Indeed, 95% of physicians surveyed reported witnessing a medical error, and 61% of health care professionals believe errors are a rout...
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Medical statistics (biostatistics), as a vital essential part of modem life, does raise some fundamental ethical issues. Surprisingly, this aspect seems to have been totally ignored by books on medical ethics. This paper discusses how the statistical aspects affect the ethics. The relation between biostatistics and medical research is explored. All stages of a medical research exercise are ...
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BACKGROUND Medical errors cause nearly 100,000 deaths per year and cost billions of dollars annually. In order to rationally develop and institute programs to mitigate errors, the relative frequency and costs of different errors must be documented. This analysis will permit the judicious allocation of scarce healthcare resources to address the most costly errors as they are identified. METHOD...
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ژورنال
عنوان ژورنال: Journal of the American Medical Informatics Association
سال: 2002
ISSN: 1067-5027,1527-974X
DOI: 10.1197/jamia.m1228