A computerized method of performing a structured collection protocol on a collection device comprising a processor and a memory component, wherein the method comprises: - providing a plurality of prior biomarker sample data which are stored in the memory of the collection device, wherein the prior biomarker sample data comprise at least one value based on a measurement of a body fluid of a diabetic patient and plurality of contextualized data components linked to the prior biomarker sample data; - setting a first criterion, wherein the first criterion classifies prior biomarker sample data as similar if prior biomarker sample data share at least one identical contextualized data component; - determining whether prior biomarker sample data are similar based on the first criterion; - grouping biomarker sample data that are determined to be similar based on the first criterion; - calculating expected values for future biomarker samples which satisfy the first criterion, wherein the calculation is based on at least a subset of the group of similar prior biomarker sample data; - setting a second criterion; - collecting a biomarker value for the one or more biomarker samples which satisfy the first criterion; and - evaluating via the processor the compliance of the collected biomarker values with the second criterion, characterized in that - a setting the second criterion comprises calculation of the second criterion based on a pattern or trend recognition of the contextualized data and the measured values of the prior bio marker sample data, - the second criterion is an acceptable variance from the calculated expected values, a threshold, or a combination thereof, and - if the biomarker value fails to comply with the second criterion, performing one or more additional tasks by the processor. - providing a plurality of prior biomarker sample data which are stored in the memory of the collection device, wherein the prior biomarker sample data comprise at least one value based on a measurement of a body fluid of a diabetic patient and plurality of contextualized data components linked to the prior biomarker sample data; - setting a first criterion, wherein the first criterion classifies prior biomarker sample data as similar if prior biomarker sample data share at least one identical contextualized data component; - determining whether prior biomarker sample data are similar based on the first criterion; - grouping biomarker sample data that are determined to be similar based on the first criterion; - calculating expected values for future biomarker samples which satisfy the first criterion, wherein the calculation is based on at least a subset of the group of similar prior biomarker sample data; - setting a second criterion; - collecting a biomarker value for the one or more biomarker samples which satisfy the first criterion; and - evaluating via the processor the compliance of the collected biomarker values with the second criterion, - a setting the second criterion comprises calculation of the second criterion based on a pattern or trend recognition of the contextualized data and the measured values of the prior bio marker sample data, - the second criterion is an acceptable variance from the calculated expected values, a threshold, or a combination thereof, and - if the biomarker value fails to comply with the second criterion, performing one or more additional tasks by the processor.