Dynamic Physiological Data Interface for Diabetes Scenario Simulation
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Solution Overview
Problem
Current therapy devices, such as insulin infusion systems, present historical physiological data in a static format, limiting patients' understanding of how different actions could have altered their treatment outcomes, as they cannot easily visualize the effects of hypothetical changes in behavior.
Innovation Solution
A graphical user interface is developed to display historical physiological data and allow users to adjust historical events, using a personalized physiological model to simulate the effects of these changes, enabling patients to see how altering actions, like insulin delivery timing, would have impacted their glucose levels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If historical physiological data is displayed in a static format, then the data presentation is simple and easy to implement, but the patient's understanding of how different actions could have altered treatment outcomes is limited
Solution Approach 1:
The patent transforms the static display of historical physiological data into a dynamic system that allows users to adjust historical events and observe recalculated outcomes. The system dynamically recalculates physiological data based on modified event parameters (such as changing insulin delivery timing or magnitude), enabling patients to explore alternative scenarios and understand cause-effect relationships in their treatment.
Solution Approach 2:
The patent creates a virtual copy of the historical treatment scenario that can be manipulated without affecting the original data. Users work with a simulated version of their historical events, adjusting parameters and observing hypothetical outcomes, which preserves the integrity of actual medical records while enabling exploratory analysis.
2Adaptability or versatility
If a dynamic interface allowing adjustment of historical events is implemented, then patients can visualize the effects of hypothetical changes, but the computational requirements and system complexity increase
Solution Approach 1:
The patent performs preliminary calculations by pre-computing physiological responses to various event modifications and storing these results for quick retrieval. The system prepares multiple potential outcome scenarios in advance, allowing users to explore alternative treatments without requiring complex real-time calculations during user interaction.
Solution Approach 2:
The patent introduces an intermediary computational layer that acts as a mediator between the user's adjustments to historical events and the physiological outcome calculations. This intermediary layer handles the complex recalculation logic, translating user modifications into meaningful physiological predictions while shielding users from the underlying computational complexity.
Data Source
AI summary
Techniques disclosed herein involve displaying, via a graphic user interface, historical physiological data of a person measured during a historical time period, and one or more historical events occurred during the historical time period; receiving a change to at least one attribute of a historical event of the one or more historical events; and displaying, via the graphic user interface, adjusted historical physiological data indicating estimated changes of the historical physiological data resulted from the change to the at least attribute of the historical event.