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Agreement between raters was measured by using 27 sets of case notes reviewed by a second reviewer (AK), a surgical trainee.
88 patients' notes reviewed.
Evernote says users can opt out of having their notes reviewed for machine learning purposes, but says that no user can opt out of having their notes read altogether.
58 participants case notes reviewed.
Patients with at least one abnormally low MCV result were identified, and their notes reviewed.
An item was counted as 'documented' if the notes reviewed mentioned that item in any form.
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Double notes reviewing is undertaken for 1% of the participants to estimate inter-reviewer error.
These data will be collected from hospital case notes review and patient questionnaires.
Data were collected during a standardized clinical assessment and notes review undertaken by a researcher.
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