Personalized Insulin Titration Notifications for Patient Adherence
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Solution Overview
Problem
Existing technologies fail to address the challenges of patient compliance with the technical problem of existing technologies fail to address the challenges of patient compliance with the technical problem of existing technologies fail to address the challenges of patient compliance with therapeutic protocols, particularly in the context of diabetic patients who often ignore or forget to adhere to strict insulin titration schedules, leading to delayed health outcomes and potential adverse effects.
Innovation Solution
A system that optimizes and personalizes therapeutic protocols by using a mobile device to detect triggering events such as circadian rhythms, device movements, biometrics, and calendar events to provide timely notifications for insulin titration, adjusting timers based on user context, and managing insulin dosing and glucose monitoring to ensure adherence.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If strict therapeutic titration protocols are implemented with predetermined time frames for blood glucose measurement and insulin administration, then therapeutic effectiveness is improved, but patient compliance deteriorates due to rigidity and inconvenience
Solution Approach 1:
The system dynamically adjusts notification timing based on detected triggering events such as device usage patterns, location changes, and calendar events. Instead of fixed predetermined times, the protocol adapts to patient behavior and context, making compliance easier while maintaining therapeutic effectiveness through flexible yet structured guidance
Solution Approach 2:
The system provides real-time feedback to patients through notifications that adapt based on their responses and behaviors. When patients interact with the system or fail to respond, the notification strategy adjusts accordingly, creating a closed-loop system that improves compliance by responding to patient needs while maintaining therapeutic goals
2Stability of the object's composition
If predetermined notification times are used for therapeutic protocol events, then protocol structure is improved, but timeliness of notification deteriorates when patients have irregular schedules or unexpected events
Solution Approach 1:
The system combines structured protocol requirements with dynamic notification timing. Triggering events such as device screen activations, location changes, and calendar events trigger notifications at contextually appropriate moments, ensuring both protocol structure and timely delivery are maintained even with irregular patient schedules
Solution Approach 2:
The system uses calendar information and device event data to predict and prepare for appropriate notification moments. By analyzing upcoming events and device usage patterns in advance, the system can schedule notifications to coincide with optimal times when patients are most likely to respond, maintaining both structure and timeliness
3Adaptability or versatility
If multiple triggering events are monitored to contextualize notifications, then notification relevance is improved, but device complexity increases
Solution Approach 1:
The system uses a single mobile device to perform multiple functions: detecting triggering events, contextualizing notifications, tracking protocol compliance, and communicating with healthcare providers. By consolidating these functions into one universal platform, the system achieves high notification relevance without proportionally increasing overall system complexity
Solution Approach 2:
The system automatically analyzes multiple triggering events and contextualizes notifications without requiring manual intervention. The mobile device itself performs the complex analysis of calendar events, location data, and device usage patterns to determine optimal notification timing, reducing the burden on users while maintaining high relevance
Data Source
AI summary
Embodiments are described herein for optimizing and personalizing therapeutic protocols to treat a medical condition. An event of a therapeutic protocol may be determined. One or more triggering events may be detected for generating a notification associated with the event of the therapeutic protocol. The one or more triggering events may be determined to exceed a notification threshold indicating a level of confidence that a user will receive a notification transmitted in response to the one or more triggering events. The notification may be provided to a user to assist in treatment of a medical condition, such as a diabetic condition, in response to the detected triggering event associated with the event of the therapeutic protocol.