Segmented Clinical Data Interfaces for Faster Lab Review
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing techniques for displaying and managing user interfaces related to physiological measurements on personal electronic devices are cumbersome and inefficient, often requiring multiple key presses and consuming excessive time and energy, particularly in battery-operated devices.
Innovation Solution
Implementing faster and more efficient methods and interfaces that include user-interactive graphical user interface objects, which dynamically display differences between values based on user input, and adaptively show or hide these differences based on user designation, thereby reducing cognitive burden and conserving power.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If existing techniques are used to display physiological measurements, then information can be displayed, but the user interface becomes complex and time-consuming requiring multiple key presses
Solution Approach 1:
The user interface is segmented into distinct functional areas including a health status section, lab value section, and trend section. Each segment displays specific information independently, allowing users to quickly locate relevant data without navigating through a complex monolithic interface. The segmentation enables parallel information presentation rather than sequential access.
Solution Approach 2:
The system performs preliminary actions by automatically calculating and displaying health status indicators, trend analyses, and comparative values before user requests. Lab values are pre-processed to highlight significant changes and anomalies, so when users access the interface, the most critical information is already prepared and prominently displayed, eliminating the need for multiple key presses to retrieve basic information.
2Reliability
If existing techniques are used to display physiological measurements, then information can be displayed, but device energy is consumed excessively
Solution Approach 1:
The system extracts and displays only the most critical and relevant lab values and health indicators based on user profiles and medical guidelines. Rather than displaying all available data continuously, the interface extracts and prioritizes information that requires immediate attention, such as abnormal values or trending parameters, reducing the computational and display energy required while maintaining information accuracy for decision-making.
Solution Approach 2:
The system implements periodic updates of lab value displays and health status indicators rather than continuous refreshing. Data is updated at clinically appropriate intervals, and the interface dynamically adjusts refresh rates based on whether values are stable or changing, conserving battery energy while ensuring that medically relevant changes are detected and displayed promptly.
3Loss of information
If detailed differences between lab values are always displayed, then complete information is provided, but cognitive burden on user increases
Solution Approach 1:
The interface applies local quality by providing different levels of information detail in different interface regions. Summary sections display high-level health status with minimal detail, while specific lab value sections provide comprehensive data including trends and comparisons. Users can drill down from general to specific information as needed, maintaining information completeness while reducing overall cognitive burden through hierarchical presentation.
Solution Approach 2:
The interface dynamically adjusts the level of detail displayed based on user interactions, selection states, and contextual information. When users select specific lab values or health parameters, the interface expands to show detailed differences and trends. When no selection is active, the interface presents a simplified overview. This dynamic adaptation maintains complete information availability while managing interface complexity through context-aware disclosure.
Data Source
AI summary
The present disclosure generally relates to methods and user interfaces for displaying and managing user interfaces including information related to physiological measurements. In some embodiments, methods and user interfaces for displaying lab types based on whether a lab type had been previously designated are described. In some embodiments, methods and user interfaces for displaying a user interface that includes health topics, where information included in the user interface corresponds to a selected health topic, are described.