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Data Errors in Table 3 and Figure 1.

08:00 EDT 10th March 2020 | BioPortfolio

Summary of "Data Errors in Table 3 and Figure 1."

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This article was published in the following journal.

Name: JAMA
ISSN: 1538-3598
Pages: 1001

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Medical and Biotech [MESH] Definitions

Errors or mistakes committed by health professionals which result in harm to the patient. They include errors in diagnosis (DIAGNOSTIC ERRORS), errors in the administration of drugs and other medications (MEDICATION ERRORS), errors in the performance of surgical procedures, in the use of other types of therapy, in the use of equipment, and in the interpretation of laboratory findings. Medical errors are differentiated from MALPRACTICE in that the former are regarded as honest mistakes or accidents while the latter is the result of negligence, reprehensible ignorance, or criminal intent.

A measure of PATIENT SAFETY considering errors or mistakes which result in harm to the patient. They include errors in the administration of drugs and other medications (MEDICATION ERRORS), errors in the performance of procedures or the use of other types of therapy, in the use of equipment, and in the interpretation of laboratory findings and preventable accidents involving patients.

Information application based on a variety of coding methods to minimize the amount of data to be stored, retrieved, or transmitted. Data compression can be applied to various forms of data, such as images and signals. It is used to reduce costs and increase efficiency in the maintenance of large volumes of data.

Various units or machines that operate in combination or in conjunction with a computer but are not physically part of it. Peripheral devices typically display computer data, store data from the computer and return the data to the computer on demand, prepare data for human use, or acquire data from a source and convert it to a form usable by a computer. (Computer Dictionary, 4th ed.)

The science and art of collecting, summarizing, and analyzing data that are subject to random variation. The term is also applied to the data themselves and to the summarization of the data.

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