Sensor-Based Training Device for Drug Delivery
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Solution Overview
Problem
Current training methods for drug delivery devices, such as insulin pens, lack standardization and effectiveness, particularly for users without formal medical training, as existing tools like manuals and videos may not provide comprehensive or easily memorable instruction, leading to inconsistent training experiences and potential errors in device handling.
Innovation Solution
A training system comprising a drug delivery device with sensors and a user device that utilize wireless communication, augmented reality, and haptic feedback to simulate the experience of using a drug delivery device, providing standardized training and feedback on correct handling, including recognition of different devices and simulation of adverse conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional training methods (manuals, videos) are used, then training can be provided to users, but the training is not standardized and users may not retain or understand the instructions properly
Solution Approach 1:
The training device incorporates sensors that detect user actions (cap attachment, button depression, device orientation) and provide real-time feedback through visual, auditory, or haptic signals. This feedback mechanism allows users to immediately understand whether their actions are correct, improving both training effectiveness and user comprehension compared to passive manual or video instruction.
Solution Approach 2:
The patent replaces traditional mechanical training methods (physical demonstration, manual instruction) with an electronic sensor-based system that automatically detects and evaluates user actions. This substitution enables standardized, repeatable training that is independent of instructor variability while providing objective feedback to users.
2Reliability
If comprehensive training is provided to ensure proper device handling, then user proficiency improves, but training time and complexity increase
Solution Approach 1:
The training system provides feedback selectively based on the specific actions being performed. Rather than requiring users to complete all possible training scenarios, the system focuses on detecting and providing feedback for critical actions (cap attachment, injection button depression, device orientation), allowing users to achieve sufficient proficiency more efficiently.
Solution Approach 2:
The training device autonomously evaluates user actions through integrated sensors and provides immediate feedback without requiring external instruction or assessment. This self-service capability allows users to train at their own pace, repeating specific actions as needed, thereby reducing overall training time while maintaining proficiency.
3Measurement precision
If multiple sensors and electronic components are added to the training device, then training accuracy and feedback capability improve, but device complexity increases
Solution Approach 1:
The training device utilizes a multi-functional approach where sensors serve multiple purposes: detecting cap attachment, verifying needle attachment, monitoring device orientation, and tracking button depression. This multi-functionality allows comprehensive training feedback without proportionally increasing device complexity, as a single sensor system supports multiple detection capabilities.
Solution Approach 2:
The patent introduces an intermediary processing layer that receives signals from multiple sensors and synthesizes them into coherent training feedback. This intermediary controller manages the complexity by coordinating sensor inputs and generating appropriate feedback signals, thereby maintaining measurement precision while organizing device complexity in a manageable architecture.
4Ease of operation
If wireless communication and augmented reality features are added, then training interactivity and engagement improve, but energy consumption and device complexity increase
Solution Approach 1:
The wireless communication and augmented reality features operate periodically or on-demand rather than continuously. The system activates these energy-intensive features only when needed for specific training scenarios, thereby improving interactivity and engagement while managing energy consumption through intermittent rather than continuous operation.
Data Source
AI summary
A system including a training drug delivery device and a user device is provided. The training drug delivery device includes a body, a cap, a delivery activation button, a controller, a memory, a wireless unit for communicating with the user device, a drive for simulating a haptic response of a drug delivery device, and at least one sensor for measuring attachment of the cap and depression of the delivery activation button. The user device includes a controller, a memory, and a wireless unit. The user device is configured to connect to the training drug delivery device, receive sensor measurements from the training drug delivery device, and provide, based at least partly on the received sensor measurements, the user with feedback on handling the training drug delivery device.