Implantable Device Tuning Through Predefined Clinical Parameter Sets
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Solution Overview
Problem
Implantable medical devices with complex configuration profiles require frequent adjustments to accommodate changing patient needs, and existing systems often overwhelm non-specialist healthcare providers with intricate parameter interactions, making effective management challenging.
Innovation Solution
Implement a system that allows primary care physicians to manage implantable medical devices through controlled access and predefined parameter sets, enabling them to adjust device functions based on clinical parameters and patient performance, while maintaining quality control and integration with other treatments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If device function is made programmable with multiple parameters to accommodate changing patient needs, then adaptability is improved, but device complexity increases
Solution Approach 1:
The patent segments the complex device configuration into multiple predefined parameter sets (first parameter set, second parameter set, etc.), each representing a complete functional configuration. This allows the device to offer diverse functionality through parameter set selection rather than requiring users to manually configure individual parameters, thereby improving adaptability while managing complexity.
Solution Approach 2:
The patent implements preliminary action by pre-configuring multiple parameter sets with different functional profiles before device operation. These parameter sets are prepared in advance and can be selectively activated based on patient needs, eliminating the need for complex real-time configuration adjustments and reducing the operational burden on non-specialist providers.
2Adaptability or versatility
If multiple parameter sets are provided for different clinical scenarios, then adaptability is improved, but ease of operation deteriorates
Solution Approach 1:
The patent implements self-service by enabling primary care physicians to independently select and activate appropriate parameter sets based on clinical indications, without requiring specialist intervention for each adjustment. The system provides the tools and information needed for non-specialists to effectively manage device function through simple parameter set selection rather than complex parameter manipulation.
Solution Approach 2:
The patent introduces an intermediary layer (the predefined parameter sets) between the complex device configuration and the user. This intermediary abstracts away the complexity of individual parameter interactions while preserving the ability to achieve different clinical outcomes, making the device easier to operate for non-specialist providers.
3Ease of operation
If comprehensive parameter control is provided to non-specialist providers, then ease of operation is improved, but reliability deteriorates due to potential incorrect configuration
Solution Approach 1:
The patent ensures configuration accuracy through preliminary action by having specialists pre-configure multiple parameter sets with appropriate settings for different clinical scenarios. This pre-configured knowledge is embedded in the device, allowing non-specialist providers to reliably select appropriate configurations without needing to understand the complex interactions between parameters, thus maintaining both ease of operation and configuration accuracy.
Data Source
AI summary
Methods and devices for tying management of an implantable medical device to the activities of a primary care physician are described, including access control, simplified parameter optimization, support for tuning a device in response to the effects of other treatments in parallel, and support for helping a primary physician and a patient work together to tune device configuration to the activity and performance needs of the patient. In some embodiments, a medical device is self-configuring in a device parameter domain, based on inputs provided in a patient performance domain. The self-configuring of the medical device is based, for example, on an automatically applied transformation of inputs derived from patient performance domain observations into changes in the configuration of the medical device which affect technical parameters of its operation.