Blood Pressure Tracking Interface With Automated Hypertension Alerts
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Solution Overview
Problem
Existing techniques for managing and presenting health data on electronic devices are cumbersome and inefficient, requiring multiple key presses, wasting user time and device energy, particularly in battery-operated devices.
Innovation Solution
Faster and more efficient methods and interfaces for managing and presenting health data, including automated notifications for hypertension events and user-friendly data tracking, reducing cognitive burden and conserving power.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If existing techniques for managing and presenting health data are used, then comprehensive health monitoring is achieved, but user interface complexity and time consumption increase
Solution Approach 1:
The system automatically collects health data from sensors and performs self-management of health information without requiring user intervention for data entry. The automated notification system generates hypertension alerts based on sensor data analysis, eliminating the need for manual monitoring and reporting by users.
Solution Approach 2:
The patent replaces manual mechanical input methods (key presses, form filling) with automated electronic data collection from sensors. The system uses sensor arrays to automatically capture health metrics and processes this data through algorithms to generate notifications, substituting human manual operations with automated electronic systems.
2Ease of operation
If existing health data management techniques are used, then health monitoring functionality is provided, but device energy consumption increases
Solution Approach 1:
The system employs periodic sensor activation and data sampling rather than continuous monitoring. Sensors are activated at intervals to collect health data, and the notification system operates periodically to check for hypertension events, reducing overall energy consumption while maintaining effective health monitoring capability.
Solution Approach 2:
The automated system manages energy consumption by self-regulating sensor activation and data processing based on detected health events. The system only engages full processing and notification generation when hypertension criteria are met, otherwise entering low-power states, thereby optimizing battery usage while maintaining monitoring functionality.
3Reliability
If automated hypertension notification is implemented, then health event detection is improved, but false positives may increase
Solution Approach 1:
The notification system incorporates feedback mechanisms where user responses to notifications are tracked and used to refine future alert generation. The system learns from user behavior patterns and health data trends to adjust notification sensitivity, reducing false positives while maintaining reliable detection of actual hypertension events.
Solution Approach 2:
The system dynamically adjusts notification thresholds and parameters based on individual user baseline measurements and historical data. By personalizing the hypertension detection criteria for each user based on their specific health profile and patterns, the system improves detection accuracy while minimizing false alarms that would occur with fixed universal thresholds.
Data Source
AI summary
The present disclosure generally relates to user interfaces for monitoring health. In some examples, an electronic device displays a user interface for tracking and/or monitoring received blood pressure measurement data over a selected time range. The user interface for tracking and/or monitoring the received blood pressure measurement data includes a measurement entry user-interactive graphical user interface object that initiates a process for the electronic device to receive blood pressure measurement data corresponding to a respective measurement indicator of the user interface that corresponds to a current day and the selected time range.