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LATEST RELEASE
BLOOD SUGAR PIPELINE
馃殌 Release Features
馃┖ Patient Data Management
Advanced Patient Filtering: Implemented a targeted data retrieval system allowing for granular searches by Patient ID or Admission Number.
Smart History Fetching: Added logic to explicitly filter for valid medical records (e.g., ensuring diabetes_test results exist) before displaying them in the analytics view.
Pagination Support: Integrated backend-driven pagination for patient admissions to ensure high performance even with large datasets.
馃搳 Real-time Analytics
Optimized Data Pipeline: Developed a high-speed bridge between the SQLite database and the UI to fetch specific medical metrics with minimal overhead.
Historical Trend Analysis: Users can now view chronological trends of patient glucose levels, automatically sorted by the most recent laboratory test.
Global Statistics Engine: Added summary cards that calculate averages and counts across the entire patient database in real-time.
馃攲 Hardware & Infrastructure
Arduino Watcher Service: Implemented a robust background service to monitor and manage connections with Arduino-based medical sensors.
Tauri-Powered Backend: Leveraged Rust's safety and speed for a secure, multi-threaded database environment using Mutex locking patterns for data integrity.
Clean Data Architecture: Normalized database schema linking patient metadata with admission records for precise data relational mapping.