Tidepool strives for complete accuracy in the data uploaded to the Tidepool platform. However, in some cases the data coming in from diabetes devices falls just shy of the requirements of the data model, and in some of these cases it is possible to implement logic that gives us high but not 100% confidence in the result. In such cases, we have chosena to implement this logic but also to annotate the resulting datum (or data) to expose the small amount of uncertainty remaining.
Syntax & conventions of annotations
In the Tidepool data model,
annotations is an optional property that may appear on any
type in the data model with the exception of
upload (which is more of a metadata container).
annotations itself is an array of objects, where each object represent an individual annotation.
An annotation object must have a
code property, and the typical construction of this
code property is
[manufacturer]/(datatype)/(description). The manufacturer prefix is optional—that is, only present if the reason for annotation is manufacturer-specific. The data type (e.g.,
bolus, and potentially
bg encompassing both
smbg) provides another level of annotation namespacing. Finally, a descriptive and hyphen-delimited string should come last in the annotation
Aside from the
code, the annotation object may also contain other properties as appropriate. For an example of this, see the documentation on out of range values, which gives full examples of the
Since we want to ensure that there are no duplicate annotations on a single datum, there are utility functions provided in the uploader repository's
annotateEvent (which checks for duplicates before adding an annotation) and
isAnnotated (for just checking for the existence of a particular annotation).
Finally, while the vast majority of annotations are added at the time of ingesting data into the Tidepool platform, a few annotations are added during the data preprocessing in the client prior to data display. These annotations relate to event interplay across device uploads and thus are not identifiable at present during the device data ingestion process. An example of an annotation of the type is
basal/intersects-incomplete-suspend which we surface in blip with a hover message of, 'Within this basal segment, we are omitting a suspend event that didn't end. This may have resulted from changing the date & time settings on the device or switching to a new device. As a result, this basal segment may be inaccurate.'
At present, the best resource for viewing all current annotations in the Tidepool data model is the tideline code where the user-facing messages are defined for each annotation code.
a. For many reasons, but chief among them to provide the same user experience to users using a variety of diabetes devices in their treatment. ↩