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The data clearinghouse system was easy for clinicians to use because data extraction was automatic and did not require them to modify their workflow, unlike other biosurveillance systems that require users to reenter data into a Web page (12, 13 ).
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Specificity and other measures of validity, such as sensitivity (ie, how many cases of AMI are missed) and negative predictive value, cannot be calculated from our data, because the data extraction was based on searching for the codes/free text pertinent to the diagnosis of interest.
Especially, data extraction was not always straightforward, because different choices to define the reference and experimental conditions could be made.
Agreement for data extraction was good.
Data extraction was performed using the Agilent feature extraction software V9.1.3.1.
The first pass data extraction was undertaken by GP.
Data extraction was done unblinded.
Data extraction was not blinded.
Data extraction was performed using Agilent's Feature Extraction software.
Data extraction was discussed and decisions documented.
Consistency of data extraction was verified.
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