Dynamic Glucose Display Emphasis in Diabetes Apps
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Solution Overview
Problem
Diabetes management devices struggle to effectively highlight the clinical significance of glucose measurements over time, leading to less relevant data for acute diagnosis and therapy calculations, as the physiological significance of measurements diminishes with time.
Innovation Solution
A computer-implemented method for a diabetes management application that prominently displays current glucose measurements within a defined therapeutic window (e.g., 15 minutes) using visual cues like color, shape, or font changes, and continues to emphasize these measurements across screens until the window expires, while indicating the window's expiration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If glucose measurements are displayed with consistent prominence, then historical readings are preserved for reference, but the clinical significance of current measurements diminishes over time
Solution Approach 1:
The display prominence of glucose measurements is made dynamic rather than static. The system automatically adjusts the visual emphasis (such as font size, color intensity, or positioning) based on the time elapsed since the measurement was taken. Measurements within the therapeutic window receive enhanced visual treatment, while older measurements gradually reduce in prominence, ensuring that clinically significant data captures user attention without requiring manual intervention.
Solution Approach 2:
The system changes display parameters (visual prominence characteristics) based on the timestamp of the glucose measurement. By comparing the current time with the measurement timestamp and determining whether the measurement falls within the therapeutic window, the system adjusts display parameters such as font weight, color saturation, or screen positioning to emphasize measurements that are still clinically actionable.
2Loss of information
If visual emphasis is applied to current glucose measurements, then therapeutic significance is highlighted, but user distraction from other important information may occur
Solution Approach 1:
Instead of applying uniform visual treatment to all measurements, the system applies local quality enhancement only to measurements within the therapeutic window. The visual emphasis (such as bold formatting, color highlighting, or enlarged display) is selectively applied to specific glucose readings based on their timestamp, allowing users to quickly identify clinically relevant data without overwhelming visual noise from historical measurements.
Solution Approach 2:
The system implements periodic reassessment of which measurements require visual emphasis. As time progresses and measurements move out of the therapeutic window, the system automatically reduces or removes visual emphasis, creating a dynamic, time-based filtering effect that maintains focus on currently actionable data while minimizing user distraction from obsolete information.
Data Source
AI summary
In diabetes management applications, recent glucose measurement values may be clinically useful for acute diagnosis and for the calculation of a corrective therapy. However, the physiological significance of these measurements can lessen with time, which can lead to their becoming less relevant for calculating an effective therapy. A technique is presented for emphasizing analyte values in a diabetes management application during a therapeutic window. In this way, a user is notified that the glucose measurement value is the most current measurement and remains usable for therapy applications, such as an insulin bolus calculation.