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Measurement

The Measurement module provides high-performance components for displaying healthcare measurement data with time-based filtering and navigation. Built on FlashList for optimal performance with large datasets and includes date range controls for temporal data analysis.

Overview​

The Measurement module offers specialized components for presenting healthcare measurements including vital signs, device readings, and time-series data. All components follow healthcare data display standards with automatic date formatting, theme integration, and efficient list rendering.

Key Features​

  • High-Performance Lists: Built on FlashList for smooth scrolling with large datasets
  • Date Range Navigation: Smart date controls with week, month, and year variants
  • Healthcare Data Types: Optimized for medical measurements with value, unit, and timestamp display
  • Compound Architecture: Flexible structure with MeasurementList, Item, and DateRange components
  • Theme Integration: Consistent styling with Material Design 3 theming
  • Time-Based Filtering: Efficient filtering and pagination by date ranges
  • Layout Animation: Smooth transitions when data changes
  • Touch Accessibility: Proper touch targets and interaction feedback

Core Components​

Architecture​

The Measurement module follows the SDK's compound component pattern:

  • List Container: MeasurementList serves as the main FlashList wrapper
  • Item Components: MeasurementList.Item handles individual measurement display
  • Date Controls: MeasurementList.DateRange provides temporal navigation
  • Performance Optimized: Efficient rendering for healthcare data sets

Performance Optimization​

FlashList Integration​

  • Optimized for 60fps scrolling with large datasets
  • Efficient viewport management and recycling
  • Minimal memory footprint compared to FlatList
  • Automatic blank space management

Date Filtering​

  • Efficient interval-based filtering using date-fns
  • Memoized filtered results to prevent re-computation
  • Layout animations for smooth data transitions
  • Optimized date calculation utilities

Best Practices​

  • Use stable keyExtractor for consistent performance
  • Implement proper estimatedItemSize for your data
  • Consider pagination for extremely large datasets
  • Cache filtered results when possible