Multi-Shape Polygon Visualization for Insulin Dose Variability

The patent segments the dose history data into multiple time windows (e.g., morning, afternoon, evening periods) and divides the day into standard time periods (7 AM-1 PM, 1 PM-7 PM, 7 PM-1 AM). This segmentation allows complex dose distribution patterns to be broken down into manageable, visually representable segments, each with its own statistical characteristics (average dose, coefficient of variation), making the overall complex information more digestible while preserving detailed information about when and how much insulin was administered.

The patent transforms raw dose history data into summarized statistical parameters for each time window: average dose amount and coefficient of variation (CV). This parameter transformation reduces the complexity of processing and visualizing data while preserving critical information about treatment effectiveness. The CV parameter specifically captures variability in a standardized way, enabling comparison across different time periods and providing insight into treatment consistency without requiring complex visualizations of every individual dose event.

The patent applies partial action by creating multi-shape data structures only for time windows that contain multiple dose events (i.e., where variability analysis is meaningful). Time windows with single or no doses are excluded from detailed analysis. This selective approach reduces computational overhead while maintaining visualization effectiveness for the periods where dose distribution patterns are relevant to treatment evaluation.