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. 2019 Jul 9;4(3):e14002. doi: 10.2196/14002

Table 1.

Summary of the requirements defined based on suggestions from the participants in the facilitated workshops and their description.

Requirements Description
R1: Displaying data collected by patients At least blood glucose, blood pressure, insulin (bolus/basal), medication, carbohydrates, calories, and physical activity. Being able to accept new data types (eg, menstruation, ketones, and polypharmacy) would be a plus.
The system shall inform clinicians if the patients register life goals (eg, what they are focusing on in their daily self-management).
R2: Quantify data collected by patients The system will notify which data have been collected by the patients and quantify them.
R3: Displaying data collection period The system will provide clinicians the length of time during which patients collected their data.
R4: Variabilities in the patients’ data values The system will be able to present a variability value for all data types to indicate how much these values diverge.
R5: Medical calculations The system will be able to provide medically relevant information (eg, insulin-to-carbohydrate ratio and insulin sensitivity).
R6: Grading data reliability The system will permit clinicians to know immediately if the data collected by the patients are reliable (ie, worth their time consulting the data).
R7: Hiding eA1ca Removing eA1c from the graphical user interface.
R8: Reduce complexity of blood glucose ranges The system will use the simplified (3 levels) blood glucose range.
R9: Consulting all self-collected health data at once The system will present all self-collected health data at once in a graph.
R10: Pattern recognition The system will ease identifying patterns in patients’ lifestyle per day, per week, and for the whole period (eg, hyperglycemic events each day after dinner).
R11: Bridge to existing data The system shall provide information clinicians can assess by comparing existing data to the self-collected health data.
R12: Overview of the patients’ situations The system will be able to inform clinicians about what the patients struggle with, what they manage, etc.
R13: Visual helper The system will provide information about which data are in and out of range.

aeA1c: estimated hemoglobin A1c.