Ambulatory Device Programming With Iterative Parameter Evaluation

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Solution Overview

Problem

Ambulatory medical devices often require suboptimal programming, leading to inefficient resource consumption and reduced device longevity due to inappropriate parameter settings, with current methods failing to efficiently adjust and optimize these settings in response to patient condition changes.

Innovation Solution

Implement a system that determines and administers iterative adjustments to ambulatory medical device programming instructions, using digital models and time-based adjudication to optimize resource use by monitoring patient and device conditions, applying changes incrementally and simulating outcomes to ensure safety and efficacy.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If iterative adjustments are applied to programming instructions, then device performance and resource optimization are improved, but device complexity and programming time increase

Engineering Contradiction:

Improveresource optimization efficiencyVSAvoidprogramming instruction complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The programming instruction is divided into multiple iterative adjustments that are applied sequentially. Each adjustment modifies specific parameters of the programming instruction, allowing complex optimization to be broken down into manageable steps. This segmentation enables the system to evaluate and adjust parameters incrementally, improving resource optimization while controlling overall complexity through structured progression.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The programming instruction transitions from a static configuration to a dynamic, iterative adjustment process. The system automatically modifies programming parameters based on monitored device performance and patient data, enabling adaptive optimization. This dynamic approach allows the programming instruction to evolve and improve resource efficiency over time while managing complexity through automated control.

Inventive Principle:

Principle #15Dynamics

2Loss of energy

If iterative adjustments are applied to programming instructions, then resource consumption is optimized, but the time required for programming increases

Engineering Contradiction:

Improveresource consumption efficiencyVSAvoidprogramming time

Core Design Contradiction:

Loss of energyVSLoss of time

Solution Approach 1:

The system performs preliminary monitoring and evaluation of device performance before finalizing the programming instruction. By continuously monitoring device metrics and patient data during iterative adjustments, the system can identify optimal parameters earlier in the process. This preliminary action reduces the need for extensive trial-and-error programming, thereby optimizing resource consumption while minimizing total programming time.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system implements feedback loops that continuously monitor device performance and adjust programming instructions accordingly. Patient data and device metrics provide real-time feedback that guides iterative adjustments, enabling faster convergence on optimal programming parameters. This feedback mechanism reduces unnecessary iterations and accelerates the programming process while maintaining resource optimization.

Inventive Principle:

Principle #23Feedback

3Reliability

If programming instructions are adjusted based on patient condition changes, then patient safety is improved, but device complexity increases

Engineering Contradiction:

Improvepatient safetyVSAvoidprogramming control complexity

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The system uses feedback from patient condition monitoring to automatically adjust programming instructions. By continuously tracking patient data and comparing it against predefined safety thresholds and optimization criteria, the system can respond to condition changes and modify programming parameters accordingly. This feedback-driven approach enhances patient safety while managing complexity through automated, rule-based decision making.

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The system modifies specific programming parameters based on detected patient condition changes. When patient data indicates worsening or improving conditions, the system automatically adjusts relevant programming parameters such as stimulation thresholds, pacing rates, or sensing sensitivity. This parameter change approach allows targeted optimization of device function to match patient needs, enhancing safety while controlling complexity through precise, data-driven parameter modification.

Inventive Principle:

Principle #35Parameter changes

Data Source

PatentUS20260072740A1Remote programming instruction iterative change evaluation

Publication Date: 2026.03.12 CARDIAC PACEMAKERS INC

AI summary

Systems and methods for determining and administering iterative adjustments for a programming instruction for an ambulatory medical device to optimize resources of the ambulatory medical device are disclosed, including determining a series of iterative adjustments corresponding to the received programming instruction, programming the ambulatory medical device to administer the series of iterative adjustments at successive time periods, receiving information and determining a change in the received information during at least a portion of administration of the iterative adjustments, and based on the determined change, suspending, adjusting, or confirming the received programming instruction to optimize resources of the ambulatory medical device.